ROLLOUT 7 · CS-SI/eodag
cs-si__eodag-961
Not solved
459 stotal time
17tool calls
17model calls
4,874tokens generated
158,251prompt tokens read
Empty agent patch
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System instructions 4,822 characters
You are a principal Python software engineer resolving a repository issue in `/workspace`. Your sole objective is to produce a minimal, root-cause source patch that passes every hidden fail-to-pass and pass-to-pass regression test on the first grading run. ## Critical Environment & Grader Rules 1. **Air-Gapped Sandbox & Available CLI Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container — always use `grep -rn --include="*.py"` for fast exact searches so you never waste a tool call on `command not found`. 2. **Protected Grading Paths**: Before running official verification, the grading harness **strips and reverts all changes** to `tests/`, `test/`, `testing/`, `test_*.py`, `*_test.py`, `conftest.py`, `pyproject.toml`, `setup.cfg`, `pytest.ini`, and `tox.ini`. Every part of your fix MUST reside in non-test production source files. 3. **Untracked File Trap (`git add -N .`)**: `submit_patch` stages ALL untracked files inside `/workspace`! Never leave reproduction or scratch files inside `/workspace` — run reproductions inline via `python3 - <<'PY'` or inside `/tmp/repro.py` in a single `run_command`. 4. **Stdout Truncation Rule**: `run_command` truncates stdout after the first 5,000 characters from the TOP. Always run pytest quietly with short tracebacks: `pytest path/to/test_file.py -k pattern -q --tb=short --no-header` If a test file is large, redirect output to `/tmp/pytest.log` and inspect `tail -n 80 /tmp/pytest.log` so failure tracebacks at the bottom are never cut off. 5. **Strict Pacing Discipline**: `get_status` and `submit_patch` are free and do NOT count toward `max_tool_calls`. Target **16-22 counted tool calls total**, and **begin your first `edit_file` change no later than tool call 15**. Reserve at least 4 calls for verification, `git status --short && git diff`, and submission. ## Execution Protocol ### Phase 1 — Pinpoint Code & Tests Immediately (1-2 tool calls) - The user message already contains `Workspace Layout` — do NOT waste a turn running `ls` on top-level directories. - Run a single compound `run_command` with `grep -rn --include="*.py"` to locate: (a) the exact symbols, error strings, or functions from the problem description, (b) **all parallel or sibling implementations** (for example sync + async variants, `Client` + `AsyncClient`, serializer + deserializer, multiple backends/dialects, base + subclass methods, `__init__.py` / `__all__` exports), and (c) the closest existing unit test files under `tests/`. ### Phase 2 — Deep Read & Spec Anchor (2-5 tool calls) - Use `read_file` with generous `start_line` and `end_line` windows (180-300 lines per call so you read whole modules in fewer calls) on the target function/class, callers, type annotations, and neighboring tests. - Before editing, verify every explicit and implicit requirement from the issue: exact parameter names, defaults, boundary/domain edge cases, exception types/messages, `None` vs empty collection vs falsy (`0`, `False`, `""`) semantics, mutability/copying, and return types. ### Phase 3 — Reproduce Bug in One Call (1 tool call) - Run ONE concise command (`python3 - <<'PY' ... PY` or targeted `pytest ... -q --tb=short --no-header`) via `run_command` to observe the exact pre-fix failure. Do NOT spend multiple tool calls writing separate reproduction scripts. ### Phase 4 — Surgical Implementation Across All Parallel Paths (1-4 tool calls) - Begin editing by tool call 15! Use `edit_file` with 4-6 lines of exact surrounding context copied from `read_file`. - Update ALL parallel codepaths (sync/async, multiple classes/dialects, type hints) consistently so partial fixes do not fail sibling tests. - **2-Strike Edit Rule**: If `edit_file` fails twice on the same block due to whitespace or escaping, do not retry `edit_file` a third time — apply an atomic Python transformation via `run_command` and immediately verify `python3 -m py_compile path/to/file.py`. ### Phase 5 — Edge-Case Verification, Diff Hygiene & Clean Exit (2-4 tool calls) - Run a single compound `run_command` testing both your reproduction + boundary edge cases (`None`, empty input, leading/trailing delimiters, subdomain/prefix boundaries, subclass/async parity) AND the relevant existing `pytest` module(s) with `-q --tb=short --no-header`. - Run `git status --short && git diff` via `run_command`. Confirm: - ZERO untracked (`??`) files in `/workspace` (`rm -f` any untracked workspace files immediately), - ZERO modifications to `tests/` or protected config files (`git checkout -- tests/` if touched), - Minimal, clean diff with valid imports and indentation. - Call `submit_patch` once verification passes, then respond with a brief 2-sentence plain-text summary and make NO further tool calls.
Task prompt 4,032 characters
You are evaluating a software engineering task for repository CS-SI/eodag.
Problem Statement:
eodag-authenticated and origin raw assets both available in server mode
In server mode, once #721 is done, make available both eodag-authenticated and origin raw assets using https://github.com/stac-extensions/alternate-assets:
```json
{
"features": [
{
"id": "some-product",
"assets": {
"B01": {
"title": "Download link",
"href": "http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01",
"alternate": {
"origin": {
"title": "Origin asset link",
"href": "s3://path/to/B01-asset"
}
}
}
}
}
]
}
```
## Task Budget (Session terminates when any budget is exhausted)
- Time allowance: 7.5 minutes
- Tool calls allowance: 30 calls
- Max loop iterations: 40 turns
## Execution Environment Rules
- Single command timeout: 90 seconds (commands exceeding this fail without ending the session)
- Command output limit: 5000 characters
- File view limit: 150 lines per read_file call
- File character limit: 10000 characters per read_file call
- Environment is offline (no network/PyPI access). All repository and test dependencies are ALREADY pre-installed. Do NOT attempt to run pip install or download packages.
## Instructions:
0. All source code is under `/workspace`. Do NOT search outside `/workspace` (e.g. `/usr/`, `/wheels/`, system site-packages). If imports fail, the issue is in the source code under `/workspace`, not in missing system packages.
1. Analyze the problem statement and any provided hints carefully to identify all requested script paths, CLI subcommands, or Python modules.
2. Inspect existing codebase conventions and test files before making edits.
3. Verify your implementation using targeted tests or inline assertions before submitting.
4. Call submit_patch only after your implementation is complete and verified.
5. As your final action, you must return a text-only response reporting your completion to terminate the session.
## Workspace Layout
The repository is located at `/workspace`. Here is the directory tree (up to 3 levels):
```
./CHANGES.rst
./CODE_OF_CONDUCT.md
./CONTRIBUTING.rst
./LICENSE
./MANIFEST.in
./NOTICE
./README.rst
./charts
./charts/eodag-server
./charts/eodag-server/Chart.lock
./charts/eodag-server/Chart.yaml
./charts/eodag-server/README.md
./charts/eodag-server/templates
./charts/eodag-server/values.yaml
./docker
./docker-compose.yml
./docker/run-stac-server.sh
./docker/stac-browser.dockerfile
./docker/stac-server.dockerfile
./docs
./eodag
./eodag/__init__.py
./eodag/api
./eodag/api/__init__.py
./eodag/api/core.py
./eodag/api/product
./eodag/api/search_result.py
./eodag/cli.py
./eodag/config.py
./eodag/crunch.py
./eodag/plugins
./eodag/plugins/__init__.py
./eodag/plugins/apis
./eodag/plugins/authentication
./eodag/plugins/base.py
./eodag/plugins/crunch
./eodag/plugins/download
./eodag/plugins/manager.py
./eodag/plugins/search
./eodag/py.typed
./eodag/resources
./eodag/resources/ext_product_types.json
./eodag/resources/locations_conf_template.yml
./eodag/resources/product_types.yml
./eodag/resources/providers.yml
./eodag/resources/shp
./eodag/resources/stac.yml
./eodag/resources/stac_api.yml
./eodag/resources/stac_provider.yml
./eodag/resources/user_conf_template.yml
./eodag/rest
./eodag/rest/__init__.py
./eodag/rest/server.py
./eodag/rest/server.wsgi
./eodag/rest/stac.py
./eodag/rest/templates
./eodag/rest/utils.py
./eodag/utils
./eodag/utils/__init__.py
./eodag/utils/exceptions.py
./eodag/utils/import_system.py
./eodag/utils/logging.py
./eodag/utils/notebook.py
./eodag/utils/stac_reader.py
./get_pypi_latest_version.sh
./pyproject.toml
./pytest.ini
./readthedocs.yml
./requirements-dev.txt
./requirements-docs.txt
./requirements-tutorials.txt
./requirements.txt
./setup.cfg
./setup.py
./tests
./tox.ini
./utils
./utils/params_mapping_to_csv.py
./utils/product_types_information_to_csv.py
```
Turn 1at 31 s397 tokens out3,321 prompt tokens
The user wants to implement the "alternate assets" STAC extension in `eodag-server`.
When in server mode, both the authenticated download link and the origin raw asset link should be available.
Looking at the provided JSON example:
```json
{
"features": [
{
"id": "some-product",
"assets": {
"B01": {
"title": "Download link",
"href": "http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01",
"alternate": {
"origin": {
"title": "Origin asset link",
"href": "s3://path/to/B01-asset"
}
}
}
}
}
]
}
```
The `href` is the authenticated link provided by the server, and the `alternate.origin.href` is the original source asset link.
I need to find where the STAC response is generated in `eodag-server`.
Based on the workspace layout:
- `eodag/rest/stac.py` seems like the most relevant place.
- `eodag/api/product` might also be involved in defining how products are converted to STAC items.
Let's start by searching for "assets" or "href" in `eodag/rest/stac.py` and `eodag/api/product`.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" -e \"assets\" -e \"href\" eodag/rest/stac.py eodag/api/product"
}Result of run_command 3,092 characters
{
"status": "ok",
"stdout": "eodag/rest/stac.py:245: product_dict[\"assets\"] = product.assets.as_dict()\neodag/rest/stac.py:256: url_parts = urlparse(str(product_item[\"assets\"][\"downloadLink\"][\"href\"]))\neodag/rest/stac.py:268: _dc_qs = product_item[\"assets\"][\"downloadLink\"].pop(\"_dc_qs\", None)\neodag/rest/stac.py:274: product_item[\"assets\"][\"downloadLink\"][\neodag/rest/stac.py:275: \"href\"\neodag/rest/stac.py:278: # add origin assets to product assets\neodag/rest/stac.py:279: origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\neodag/rest/stac.py:280: if getattr(product, \"assets\", False):\neodag/rest/stac.py:282: for asset_key, asset_value in origin_assets.items():\neodag/rest/stac.py:283: origin_assets[asset_key][\"href\"] = without_arg_url\neodag/rest/stac.py:285: origin_assets[asset_key][\neodag/rest/stac.py:286: \"href\"\neodag/rest/stac.py:289: origin_assets[asset_key][\"href\"] += f\"/{asset_key}\"\neodag/rest/stac.py:291: product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\neodag/rest/stac.py:323: url_parts = urlparse(str(product_item[\"links\"][0][\"href\"]))\neodag/rest/stac.py:330: \"href\"\neodag/rest/stac.py:359: items_model[\"links\"][i][\"href\"] = catalog[\"url\"]\neodag/rest/stac.py:530: product_dict[\"assets\"] = product.assets.as_dict()\neodag/rest/stac.py:697: \"href\": [\neodag/rest/stac.py:698: link[\"href\"] for link in collec[\"links\"] if link[\"rel\"] == \"self\"\neodag/rest/stac.py:778: self.data[\"links\"].append({\"rel\": \"parent\", \"href\": self.parent})\neodag/rest/stac.py:1257: \"href\": urljoin(\neodag/rest/stac.py:1321: \"href\": self.url\neodag/rest/stac.py:1333: \"href\": self.url + \"/items\",\neodag/rest/stac.py:1372: \"href\": self.url + \"/\" + str(filtering_data),\neodag/api/product/_product.py:32:from eodag.api.product._assets import AssetsDict\neodag/api/product/_product.py:110: assets: AssetsDict\neodag/api/product/_product.py:118: self.assets = AssetsDict(self)\neodag/api/product/_product.py:205: \"assets\": self.assets.as_dict(),\neodag/api/product/_product.py:240: obj.assets = AssetsDict(obj, feature.get(\"assets\", {}))\neodag/api/product/_assets.py:28: \"\"\"A UserDict object listing assets contained in a\neodag/api/product/_assets.py:51: :returns: The representation of a :class:`~eodag.api.product._assets.AssetsDict`\neodag/api/product/_assets.py:59: \"\"\"A UserDict object containg one of the assets of a\neodag/api/product/_assets.py:82: :returns: The representation of a :class:`~eodag.api.product._assets.Asset` as a\n",
"stderr": "",
"exit_code": 0
}Generated tokens 397 tokens · stopped: STOP
<|channel>thought
The user wants to implement the "alternate assets" STAC extension in `eodag-server`.
When in server mode, both the authenticated download link and the origin raw asset link should be available.
Looking at the provided JSON example:
```json
{
"features": [
{
"id": "some-product",
"assets": {
"B01": {
"title": "Download link",
"href": "http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01",
"alternate": {
"origin": {
"title": "Origin asset link",
"href": "s3://path/to/B01-asset"
}
}
}
}
}
]
}
```
The `href` is the authenticated link provided by the server, and the `alternate.origin.href` is the original source asset link.
I need to find where the STAC response is generated in `eodag-server`.
Based on the workspace layout:
- `eodag/rest/stac.py` seems like the most relevant place.
- `eodag/api/product` might also be involved in defining how products are converted to STAC items.
Let's start by searching for "assets" or "href" in `eodag/rest/stac.py` and `eodag/api/product`.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" -e "assets" -e "href" eodag/rest/stac.py eodag/api/product<|"|>}<tool_call|><|tool_response>
Turn 2at 52 s367 tokens out4,813 prompt tokens
In `eodag/rest/stac.py`, around line 245:
```python
eodag/rest/stac.py:245: product_dict["assets"] = product.assets.as_dict()
```
And around line 278:
```python
eodag/rest/stac.py:278: # add origin assets to product assets
eodag/rest/stac.py:279: origin_assets = product_item["assets"].pop("origin_assets")
```
Wait, the grep output shows:
```python
eodag/rest/stac.py:278: # add origin assets to product assets
eodag/rest/stac.py:279: origin_assets = product_item["assets"].pop("origin_assets")
eodag/rest/stac.py:280: if getattr(product, "assets", False):
eodag/rest/stac.py:282: for asset_key, asset_value in origin_assets.items():
eodag/rest/stac.py:283: origin_assets[asset_key]["href"] = without_arg_url
```
It seems there's already some logic to handle `origin_assets`. Let me read `eodag/rest/stac.py` around those lines.
TOOL CALL · read_file
{
"end_line": 300,
"filepath": "eodag/rest/stac.py",
"start_line": 230
}Result of read_file 3,265 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": " )\n\n item_list: List[Dict[str, Any]] = []\n for product in search_results:\n # parse jsonpath\n provider_dict = jsonpath_parse_dict_items(\n provider_model,\n {\n \"provider\": self.eodag_api.providers_config[\n product.provider\n ].__dict__\n },\n )\n\n product_dict = deepcopy(product.__dict__)\n product_dict[\"assets\"] = product.assets.as_dict()\n\n product_item = jsonpath_parse_dict_items(\n item_model,\n {\n \"product\": product_dict,\n \"providers\": [provider_dict],\n },\n )\n\n # parse download link\n url_parts = urlparse(str(product_item[\"assets\"][\"downloadLink\"][\"href\"]))\n query_dict = parse_qs(url_parts.query)\n without_arg_url = (\n f\"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}\"\n if url_parts.scheme\n else f\"{url_parts.netloc}{url_parts.path}\"\n )\n\n # add provider to query-args\n if self.provider:\n query_dict.update(provider=[self.provider])\n # add datacube query-string to query-args\n _dc_qs = product_item[\"assets\"][\"downloadLink\"].pop(\"_dc_qs\", None)\n if _dc_qs:\n query_dict.update(_dc_qs=_dc_qs)\n\n # update download link with up-to-date query-args\n if query_dict:\n product_item[\"assets\"][\"downloadLink\"][\n \"href\"\n ] = f\"{without_arg_url}?{urlencode(query_dict, doseq=True)}\"\n\n # add origin assets to product assets\n origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n if getattr(product, \"assets\", False):\n # replace origin asset urls with eodag-server ones\n for asset_key, asset_value in origin_assets.items():\n origin_assets[asset_key][\"href\"] = without_arg_url\n if query_dict:\n origin_assets[asset_key][\n \"href\"\n ] += f\"/{asset_key}?{urlencode(query_dict, doseq=True)}\"\n else:\n origin_assets[asset_key][\"href\"] += f\"/{asset_key}\"\n\n product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\n\n # apply conversion if needed\n for prop_key, prop_val in need_conversion.items():\n conv_func, conv_args = prop_val\n # colon `:` in key breaks format() method, hide it\n formatable_prop_key = prop_key.replace(\":\", \"\")\n if conv_args is not None:\n product_item[\"properties\"][prop_key] = format_metadata(\n \"{%s#%s(%s)}\" % (formatable_prop_key, conv_func, conv_args),",
"start_line": 230,
"end_line": 300,
"total_lines": 1387,
"is_truncated": false
}Generated tokens 367 tokens · stopped: STOP
In `eodag/rest/stac.py`, around line 245:
```python
eodag/rest/stac.py:245: product_dict["assets"] = product.assets.as_dict()
```
And around line 278:
```python
eodag/rest/stac.py:278: # add origin assets to product assets
eodag/rest/stac.py:279: origin_assets = product_item["assets"].pop("origin_assets")
```
Wait, the grep output shows:
```python
eodag/rest/stac.py:278: # add origin assets to product assets
eodag/rest/stac.py:279: origin_assets = product_item["assets"].pop("origin_assets")
eodag/rest/stac.py:280: if getattr(product, "assets", False):
eodag/rest/stac.py:282: for asset_key, asset_value in origin_assets.items():
eodag/rest/stac.py:283: origin_assets[asset_key]["href"] = without_arg_url
```
It seems there's already some logic to handle `origin_assets`. Let me read `eodag/rest/stac.py` around those lines.
<channel|><|tool_call>call:read_file{end_line:300,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:230}<tool_call|><|tool_response>
Turn 3at 98 s629 tokens out6,067 prompt tokens
The current logic in `eodag/rest/stac.py` (lines 278-291) does this:
1. It pops `origin_assets` from `product_item["assets"]`.
2. It replaces the `href` of each origin asset with a server-generated link (authenticated link).
3. It merges these modified origin assets back into `product_item["assets"]`.
This means currently, only the server-generated link is provided for each asset. The original (origin) link is lost.
The goal is to provide both:
- The server link in `href`.
- The origin link in `alternate.origin.href`.
Let's see where `origin_assets` comes from. It's part of `product_item` which is created by `jsonpath_parse_dict_items(item_model, {"product": product_dict, "providers": [provider_dict]})`.
`product_dict["assets"]` comes from `product.assets.as_dict()`.
If `product_item["assets"]` initially contains `origin_assets` and the regular assets (like `downloadLink`), and `origin_assets` contains the original raw asset links, then we can use them.
Wait, let's look closely at lines 278-291 again:
```python
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# replace origin asset urls with eodag-server ones
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
if query_dict:
origin_assets[asset_key][
"href"
] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
origin_assets[asset_key]["href"] += f"/{asset_key}"
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
The `origin_assets` variable holds the original assets before they are modified.
The `asset_value` (which is `origin_assets[asset_key]`) contains the original `href`.
So, we should:
1. Keep the original `href` in `alternate.origin.href`.
2. Set the modified server URL as the main `href`.
Let's verify what `origin_assets` looks like. I'll check `eodag/api/product/_assets.py` and `eodag/api/product/_product.py`.
TOOL CALL · read_file
{
"filepath": "eodag/api/product/_assets.py"
}Result of read_file 3,731 characters
{
"status": "ok",
"filepath": "eodag/api/product/_assets.py",
"content": "# -*- coding: utf-8 -*-\n# Copyright 2023, CS GROUP - France, https://www.csgroup.eu/\n#\n# This file is part of EODAG project\n# https://www.github.com/CS-SI/EODAG\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nfrom __future__ import annotations\n\nfrom collections import UserDict\nfrom typing import TYPE_CHECKING, Any, Dict\n\nif TYPE_CHECKING:\n from eodag.api.product import EOProduct\n\n\nclass AssetsDict(UserDict):\n \"\"\"A UserDict object listing assets contained in a\n :class:`~eodag.api.product._product.EOProduct` resulting from a search.\n\n :param product: Product resulting from a search\n :type product: :class:`~eodag.api.product._product.EOProduct`\n :param args: (optional) Arguments used to init the dictionary\n :type args: Any\n :param kwargs: (optional) Additional named-arguments used to init the dictionary\n :type kwargs: Any\n \"\"\"\n\n product: EOProduct\n\n def __init__(self, product: EOProduct, *args: Any, **kwargs: Any) -> None:\n self.product = product\n super(AssetsDict, self).__init__(*args, **kwargs)\n\n def __setitem__(self, key: str, value: Dict[str, Any]) -> None:\n super().__setitem__(key, Asset(self.product, key, value))\n\n def as_dict(self) -> Dict[str, Any]:\n \"\"\"Builds a representation of AssetsDict to enable its serialization\n\n :returns: The representation of a :class:`~eodag.api.product._assets.AssetsDict`\n as a Python dict\n :rtype: dict\n \"\"\"\n return {k: v.as_dict() for k, v in self.data.items()}\n\n\nclass Asset(UserDict):\n \"\"\"A UserDict object containg one of the assets of a\n :class:`~eodag.api.product._product.EOProduct` resulting from a search.\n\n :param product: Product resulting from a search\n :type product: :class:`~eodag.api.product._product.EOProduct`\n :param key: asset key\n :type key: str\n :param args: (optional) Arguments used to init the dictionary\n :type args: Any\n :param kwargs: (optional) Additional named-arguments used to init the dictionary\n :type kwargs: Any\n \"\"\"\n\n product: EOProduct\n\n def __init__(self, product: EOProduct, key: str, *args: Any, **kwargs: Any) -> None:\n self.product = product\n self.key = key\n super(Asset, self).__init__(*args, **kwargs)\n\n def as_dict(self) -> Dict[str, Any]:\n \"\"\"Builds a representation of Asset to enable its serialization\n\n :returns: The representation of a :class:`~eodag.api.product._assets.Asset` as a\n Python dict\n :rtype: dict\n \"\"\"\n return self.data\n\n def download(self, **kwargs: Any) -> str:\n \"\"\"Downloads a single asset\n\n :param kwargs: (optional) Additional named-arguments passed to `plugin.download()`\n :type kwargs: Any\n :returns: The absolute path to the downloaded product on the local filesystem\n :rtype: str\n \"\"\"\n return self.product.download(asset=self.key, **kwargs)",
"start_line": 1,
"end_line": 96,
"total_lines": 96,
"is_truncated": false
}Generated tokens 629 tokens · stopped: STOP
The current logic in `eodag/rest/stac.py` (lines 278-291) does this:
1. It pops `origin_assets` from `product_item["assets"]`.
2. It replaces the `href` of each origin asset with a server-generated link (authenticated link).
3. It merges these modified origin assets back into `product_item["assets"]`.
This means currently, only the server-generated link is provided for each asset. The original (origin) link is lost.
The goal is to provide both:
- The server link in `href`.
- The origin link in `alternate.origin.href`.
Let's see where `origin_assets` comes from. It's part of `product_item` which is created by `jsonpath_parse_dict_items(item_model, {"product": product_dict, "providers": [provider_dict]})`.
`product_dict["assets"]` comes from `product.assets.as_dict()`.
If `product_item["assets"]` initially contains `origin_assets` and the regular assets (like `downloadLink`), and `origin_assets` contains the original raw asset links, then we can use them.
Wait, let's look closely at lines 278-291 again:
```python
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# replace origin asset urls with eodag-server ones
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
if query_dict:
origin_assets[asset_key][
"href"
] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
origin_assets[asset_key]["href"] += f"/{asset_key}"
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
The `origin_assets` variable holds the original assets before they are modified.
The `asset_value` (which is `origin_assets[asset_key]`) contains the original `href`.
So, we should:
1. Keep the original `href` in `alternate.origin.href`.
2. Set the modified server URL as the main `href`.
Let's verify what `origin_assets` looks like. I'll check `eodag/api/product/_assets.py` and `eodag/api/product/_product.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>eodag/api/product/_assets.py<|"|>}<tool_call|><|tool_response>
Turn 4at 113 s206 tokens out7,820 prompt tokens
`Asset.as_dict()` just returns `self.data`. `AssetsDict.as_dict()` returns a dict of `v.as_dict()` for each asset. Now let's look at `eodag/rest/stac.py` again. The `product_item["assets"]` is populated from `product.assets.as_dict()`. The `origin_assets` are popped from `product_item["assets"]`. This means `item_model` must be mapping some product attributes to a key called `origin_assets` within the assets dictionary of the STAC item. Let's see how `item_model` is defined. I'll look at the beginning of `eodag/rest/stac.py`.
TOOL CALL · read_file
{
"end_line": 200,
"filepath": "eodag/rest/stac.py",
"start_line": 1
}Result of read_file 5,134 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": "# -*- coding: utf-8 -*-\n# Copyright 2018, CS Systemes d'Information, https://www.csgroup.eu/\n#\n# This file is part of EODAG project\n# https://www.github.com/CS-SI/EODAG\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nfrom __future__ import annotations\n\nimport logging\nimport os\nfrom collections import defaultdict\nfrom datetime import datetime, timezone\nfrom typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, cast\nfrom urllib.parse import parse_qs, urlencode, urlparse\n\nimport dateutil.parser\nimport geojson\nimport shapefile\nfrom dateutil import tz\nfrom dateutil.relativedelta import relativedelta\nfrom shapely.geometry import shape\nfrom shapely.geometry.base import BaseGeometry\nfrom shapely.ops import unary_union\n\nfrom eodag.api.product.metadata_mapping import (\n DEFAULT_METADATA_MAPPING,\n format_metadata,\n get_metadata_path,\n)\nfrom eodag.utils import (\n deepcopy,\n dict_items_recursive_apply,\n format_dict_items,\n jsonpath_parse_dict_items,\n string_to_jsonpath,\n update_nested_dict,\n urljoin,\n)\nfrom eodag.utils.exceptions import (\n NoMatchingProductType,\n NotAvailableError,\n ValidationError,\n)\n\nif TYPE_CHECKING:\n from eodag.api.core import EODataAccessGateway\n from eodag.api.product import EOProduct\n from eodag.api.search_result import SearchResult\n\n\nlogger = logging.getLogger(\"eodag.rest.stac\")\n\nDEFAULT_MISSION_START_DATE = \"2015-01-01T00:00:00Z\"\nSTAC_CATALOGS_PREFIX = \"catalogs\"\n\n\nclass StacCommon:\n \"\"\"Stac common object\n\n :param url: Requested URL\n :type url: str\n :param stac_config: STAC configuration from stac.yml conf file\n :type stac_config: dict\n :param provider: (optional) Chosen provider\n :type provider: str\n :param eodag_api: EODAG python API instance\n :type eodag_api: :class:`eodag.api.core.EODataAccessGateway`\n :param root: (optional) API root\n :type root: str\n \"\"\"\n\n def __init__(\n self,\n url: str,\n stac_config: Dict[str, Any],\n provider: Optional[str],\n eodag_api: EODataAccessGateway,\n root: str = \"/\",\n ) -> None:\n self.url = url.rstrip(\"/\") if len(url) > 1 else url\n self.stac_config = stac_config\n self.provider = provider\n self.eodag_api = eodag_api\n self.root = root.rstrip(\"/\") if len(root) > 1 else root\n\n self.data: Dict[str, Any] = {}\n\n def update_data(self, data: Dict[str, Any]) -> None:\n \"\"\"Updates data using given input STAC dict data\n\n :param data: Catalog data (parsed STAC dict)\n :type data: dict\n \"\"\"\n self.data.update(data)\n\n # bbox: str to float\n if (\n \"extent\" in self.data.keys()\n and \"spatial\" in self.data[\"extent\"].keys()\n and \"bbox\" in self.data[\"extent\"][\"spatial\"].keys()\n ):\n for i, bbox in enumerate(self.data[\"extent\"][\"spatial\"][\"bbox\"]):\n self.data[\"extent\"][\"spatial\"][\"bbox\"][i] = [float(x) for x in bbox]\n # \"None\" values to None\n self.data = dict_items_recursive_apply(\n self.data, lambda k, v: None if v == \"None\" else v\n )\n\n # ids and titles as str\n self.data = dict_items_recursive_apply(\n self.data, lambda k, v: str(v) if k in [\"title\", \"id\"] else v\n )\n\n # empty stac_extensions: \"\" to []\n if not self.data.get(\"stac_extensions\", True):\n self.data[\"stac_extensions\"] = []\n\n @staticmethod\n def get_stac_extension(\n url: str, stac_config: Dict[str, Any], extension: str, **kwargs: Any\n ) -> Dict[str, str]:\n \"\"\"Parse STAC extension from config and return as dict\n\n :param url: Requested URL\n :type url: str\n :param stac_config: STAC configuration from stac.yml conf file\n :type stac_config: dict\n :param extension: Extension name\n :type extension: str\n :param kwargs: Additional variables needed for parsing extension\n :type kwargs: Any\n :returns: STAC extension as dictionnary\n :rtype: dict\n \"\"\"\n extension_model = deepcopy(stac_config).get(\"extensions\", {}).get(extension, {})\n\n # parse f-strings\n format_args = deepcopy(stac_config)\n format_args[\"extension\"] = {",
"start_line": 1,
"end_line": 150,
"total_lines": 1387,
"is_truncated": true
}Generated tokens 206 tokens · stopped: STOP
`Asset.as_dict()` just returns `self.data`.
`AssetsDict.as_dict()` returns a dict of `v.as_dict()` for each asset.
Now let's look at `eodag/rest/stac.py` again.
The `product_item["assets"]` is populated from `product.assets.as_dict()`.
The `origin_assets` are popped from `product_item["assets"]`.
This means `item_model` must be mapping some product attributes to a key called `origin_assets` within the assets dictionary of the STAC item.
Let's see how `item_model` is defined. I'll look at the beginning of `eodag/rest/stac.py`.<channel|><|tool_call>call:read_file{end_line:200,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:1}<tool_call|><|tool_response>
Turn 5at 117 s62 tokens out9,643 prompt tokens
I need to find `item_model`. Let's search for it in `eodag/rest/stac.py`.
TOOL CALL · run_command
{
"command": "grep -n \"item_model =\" eodag/rest/stac.py"
}Result of run_command 240 characters
{
"status": "ok",
"stdout": "213: item_model = self.__filter_item_model_properties(\n426: result_item_model = deepcopy(item_model)\n510: item_model = self.__filter_item_model_properties(\n",
"stderr": "",
"exit_code": 0
}Generated tokens 62 tokens · stopped: STOP
I need to find `item_model`. Let's search for it in `eodag/rest/stac.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "item_model =" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 6at 121 s65 tokens out9,802 prompt tokens
Let's read `eodag/rest/stac.py` around line 213.
TOOL CALL · read_file
{
"end_line": 230,
"filepath": "eodag/rest/stac.py",
"start_line": 200
}Result of read_file 1,480 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": " ) -> List[Dict[str, Any]]:\n \"\"\"Build STAC items list from EODAG search results\n\n :param search_results: EODAG search results\n :type search_results: :class:`~eodag.api.search_result.SearchResult`\n :param catalog: STAC catalog dict used for parsing item metadata\n :type catalog: dict\n :returns: STAC item dicts list\n :rtype: list\n \"\"\"\n if len(search_results) <= 0:\n return []\n\n item_model = self.__filter_item_model_properties(\n self.stac_config[\"item\"], str(search_results[0].product_type)\n )\n provider_model = deepcopy(self.stac_config[\"provider\"])\n\n # check if some items need to be converted\n need_conversion: Dict[str, Any] = {}\n for k, v in item_model[\"properties\"].items():\n if isinstance(v, str):\n conversion, item_model[\"properties\"][k] = get_metadata_path(\n item_model[\"properties\"][k]\n )\n if conversion is not None:\n need_conversion[k] = conversion\n # convert str to jsonpath if needed\n item_model[\"properties\"][k] = string_to_jsonpath(\n k, item_model[\"properties\"][k]\n )",
"start_line": 200,
"end_line": 230,
"total_lines": 1387,
"is_truncated": false
}Generated tokens 65 tokens · stopped: STOP
Let's read `eodag/rest/stac.py` around line 213.
<channel|><|tool_call>call:read_file{end_line:230,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:200}<tool_call|><|tool_response>
Turn 7at 181 s1,178 tokens out10,305 prompt tokens
The `item_model` comes from `self.stac_config["item"]`.
The `stac_config` is loaded from `stac.yml`.
Let's see how the `assets` part of the `item_model` is handled.
Actually, let's look at how the assets are processed in `eodag/rest/stac.py` again.
```python
product_dict = deepcopy(product.__dict__)
product_dict["assets"] = product.assets.as_dict()
product_item = jsonpath_parse_dict_items(
item_model,
{
"product": product_dict,
"providers": [provider_dict],
},
)
```
If `item_model` has something like:
```json
{
"assets": {
"origin_assets": "$.product.assets"
}
}
```
Then `product_item["assets"]["origin_assets"]` would be `product.assets.as_dict()`.
Then the code does:
```python
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# replace origin asset urls with eodag-server ones
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
if query_dict:
origin_assets[asset_key][
"href"
] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
origin_assets[asset_key]["href"] += f"/{asset_key}"
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
The `asset_value` is `origin_assets[asset_key]`.
Before line 283, `asset_value` is the original asset dict (e.g., `{"href": "s3://...", "title": "..."}`).
After line 283, `origin_assets[asset_key]["href"]` is replaced by the server URL.
To implement the "alternate assets" extension, we should:
1. Capture the original `href`.
2. Set the server URL as `href`.
3. Put the original `href` in `alternate` -> `origin` -> `href`.
Wait, if I want to follow the STAC Alternate Assets extension, it should look like:
```json
{
"assets": {
"B01": {
"title": "Download link",
"href": "http://...",
"alternate": {
"origin": {
"title": "Origin asset link",
"href": "s3://..."
}
}
}
}
}
```
So for each asset in `origin_assets`:
- Current `href` of `asset_value` is the origin href.
- We create the server href.
- We set `asset_value["href"] = server_href`.
- We set `asset_value["alternate"] = {"origin": {"title": "Origin asset link", "href": origin_href}}`.
But wait, the `asset_value` dictionary is mutated. So we need to store the original `href` BEFORE modifying it.
Let's refine the loop:
```python
for asset_key, asset_value in origin_assets.items():
origin_href = asset_value.get("href")
# compute server_href
server_href = without_arg_url
if query_dict:
server_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
server_href += f"/{asset_key}"
# Update the asset dict
asset_value["href"] = server_href
if origin_href:
asset_value["alternate"] = {
"origin": {
"title": "Origin asset link",
"href": origin_href
}
}
```
Wait, the original code was:
```python
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
if query_dict:
origin_assets[asset_key][
"href"
] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
origin_assets[asset_key]["href"] += f"/{asset_key}"
```
It is already modifying `origin_assets[asset_key]["href"]`.
Let's see where else this happen. There is another place in `eodag/rest/stac.py` that handles products (around line 530).
TOOL CALL · read_file
{
"end_line": 600,
"filepath": "eodag/rest/stac.py",
"start_line": 500
}Result of read_file 3,533 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": " def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:\n \"\"\"Build STAC item from EODAG product\n\n :param product: EODAG product\n :type product: :class:`eodag.api.product._product.EOProduct`\n :returns: STAC item\n :rtype: list\n \"\"\"\n product_type = str(product.product_type)\n\n item_model = self.__filter_item_model_properties(\n self.stac_config[\"item\"], product_type\n )\n provider_model = deepcopy(self.stac_config[\"provider\"])\n\n provider_dict = jsonpath_parse_dict_items(\n provider_model,\n {\"provider\": self.eodag_api.providers_config[product.provider].__dict__},\n )\n\n catalog = StacCatalog(\n url=self.url.split(\"/items\")[0],\n stac_config=self.stac_config,\n root=self.root,\n provider=self.provider,\n eodag_api=self.eodag_api,\n catalogs=[product_type],\n )\n\n product_dict = deepcopy(product.__dict__)\n product_dict[\"assets\"] = product.assets.as_dict()\n\n # parse jsonpath\n product_item = jsonpath_parse_dict_items(\n item_model,\n {\n \"product\": product_dict,\n \"providers\": provider_dict,\n },\n )\n # parse f-strings\n format_args = deepcopy(self.stac_config)\n format_args[\"catalog\"] = dict(\n catalog.as_dict(), **{\"url\": catalog.url, \"root\": catalog.root}\n )\n format_args[\"item\"] = product_item\n product_item = format_dict_items(product_item, **format_args)\n product_item[\"bbox\"] = [float(i) for i in product_item[\"bbox\"]]\n\n # remove empty properties\n product_item = self.__filter_item_properties_values(product_item)\n\n self.update_data(product_item)\n return self.as_dict()\n\n\nclass StacCollection(StacCommon):\n \"\"\"Stac collection object\n\n :param url: Requested URL\n :type url: str\n :param stac_config: STAC configuration from stac.yml conf file\n :type stac_config: dict\n :param provider: (optional) Chosen provider\n :type provider: str\n :param eodag_api: EODAG python API instance\n :type eodag_api: :class:`eodag.api.core.EODataAccessGateway`\n :param root: (optional) API root\n :type root: str\n \"\"\"\n\n def __init__(\n self,\n url: str,\n stac_config: Dict[str, Any],\n provider: Optional[str],\n eodag_api: EODataAccessGateway,\n root: str = \"/\",\n ) -> None:\n super(StacCollection, self).__init__(\n url=url,\n stac_config=stac_config,\n provider=provider,\n eodag_api=eodag_api,\n root=root,\n )\n\n def __get_product_types(\n self, filters: Optional[Dict[str, Any]] = None\n ) -> List[Dict[str, Any]]:\n \"\"\"Returns a list of supported product types\n\n :param filters: (optional) Additional filters for product types search\n :type filters: dict\n :returns: List of corresponding product types\n :rtype: list\n \"\"\"\n if filters is None:\n filters = {}\n try:\n guessed_product_types = self.eodag_api.guess_product_type(**filters)",
"start_line": 500,
"end_line": 600,
"total_lines": 1387,
"is_truncated": false
}Generated tokens 1,178 tokens · stopped: STOP
The `item_model` comes from `self.stac_config["item"]`.
The `stac_config` is loaded from `stac.yml`.
Let's see how the `assets` part of the `item_model` is handled.
Actually, let's look at how the assets are processed in `eodag/rest/stac.py` again.
```python
product_dict = deepcopy(product.__dict__)
product_dict["assets"] = product.assets.as_dict()
product_item = jsonpath_parse_dict_items(
item_model,
{
"product": product_dict,
"providers": [provider_dict],
},
)
```
If `item_model` has something like:
```json
{
"assets": {
"origin_assets": "$.product.assets"
}
}
```
Then `product_item["assets"]["origin_assets"]` would be `product.assets.as_dict()`.
Then the code does:
```python
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# replace origin asset urls with eodag-server ones
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
if query_dict:
origin_assets[asset_key][
"href"
] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
origin_assets[asset_key]["href"] += f"/{asset_key}"
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
The `asset_value` is `origin_assets[asset_key]`.
Before line 283, `asset_value` is the original asset dict (e.g., `{"href": "s3://...", "title": "..."}`).
After line 283, `origin_assets[asset_key]["href"]` is replaced by the server URL.
To implement the "alternate assets" extension, we should:
1. Capture the original `href`.
2. Set the server URL as `href`.
3. Put the original `href` in `alternate` -> `origin` -> `href`.
Wait, if I want to follow the STAC Alternate Assets extension, it should look like:
```json
{
"assets": {
"B01": {
"title": "Download link",
"href": "http://...",
"alternate": {
"origin": {
"title": "Origin asset link",
"href": "s3://..."
}
}
}
}
}
```
So for each asset in `origin_assets`:
- Current `href` of `asset_value` is the origin href.
- We create the server href.
- We set `asset_value["href"] = server_href`.
- We set `asset_value["alternate"] = {"origin": {"title": "Origin asset link", "href": origin_href}}`.
But wait, the `asset_value` dictionary is mutated. So we need to store the original `href` BEFORE modifying it.
Let's refine the loop:
```python
for asset_key, asset_value in origin_assets.items():
origin_href = asset_value.get("href")
# compute server_href
server_href = without_arg_url
if query_dict:
server_href += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
server_href += f"/{asset_key}"
# Update the asset dict
asset_value["href"] = server_href
if origin_href:
asset_value["alternate"] = {
"origin": {
"title": "Origin asset link",
"href": origin_href
}
}
```
Wait, the original code was:
```python
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
if query_dict:
origin_assets[asset_key][
"href"
] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
origin_assets[asset_key]["href"] += f"/{asset_key}"
```
It is already modifying `origin_assets[asset_key]["href"]`.
Let's see where else this happen. There is another place in `eodag/rest/stac.py` that handles products (around line 530).
<channel|><|tool_call>call:read_file{end_line:600,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:500}<tool_call|><|tool_response>
Turn 8at 204 s381 tokens out12,568 prompt tokens
In `get_stac_item_from_product`, it seems the assets are just converted using `jsonpath_parse_dict_items` and `format_dict_items`.
Wait, look at `get_stac_item_from_product` again:
```python
product_dict = deepcopy(product.__dict__)
product_dict["assets"] = product.assets.as_dict()
# parse jsonpath
product_item = jsonpath_parse_dict_items(
item_model,
{
"product": product_dict,
"providers": provider_dict,
},
)
# parse f-strings
format_args = deepcopy(self.stac_config)
format_args["catalog"] = dict(
catalog.as_dict(), **{"url": catalog.url, "root": catalog.root}
)
format_args["item"] = product_item
product_item = format_dict_items(product_item, **format_args)
```
It doesn't seem to have the logic to replace asset URLs with server URLs as `get_stac_items_from_products` (the method I looked at earlier) does.
Wait, I should check if `get_stac_items_from_products` and `get_stac_item_from_product` are in the same class.
Actually, let me find where `get_stac_items_from_products` is.
TOOL CALL · run_command
{
"command": "grep -n \"def get_stac_items_from_products\" eodag/rest/stac.py"
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Generated tokens 381 tokens · stopped: STOP
In `get_stac_item_from_product`, it seems the assets are just converted using `jsonpath_parse_dict_items` and `format_dict_items`.
Wait, look at `get_stac_item_from_product` again:
```python
product_dict = deepcopy(product.__dict__)
product_dict["assets"] = product.assets.as_dict()
# parse jsonpath
product_item = jsonpath_parse_dict_items(
item_model,
{
"product": product_dict,
"providers": provider_dict,
},
)
# parse f-strings
format_args = deepcopy(self.stac_config)
format_args["catalog"] = dict(
catalog.as_dict(), **{"url": catalog.url, "root": catalog.root}
)
format_args["item"] = product_item
product_item = format_dict_items(product_item, **format_args)
```
It doesn't seem to have the logic to replace asset URLs with server URLs as `get_stac_items_from_products` (the method I looked at earlier) does.
Wait, I should check if `get_stac_items_from_products` and `get_stac_item_from_product` are in the same class.
Actually, let me find where `get_stac_items_from_products` is.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "def get_stac_items_from_products" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 9at 215 s113 tokens out13,004 prompt tokens
Ah, maybe it's `get_items` or something else. Let's look at the class. Looking back at the first `read_file` of `eodag/rest/stac.py` (lines 200-300), it was inside some method. Let me see the method name.
TOOL CALL · read_file
{
"end_line": 210,
"filepath": "eodag/rest/stac.py",
"start_line": 180
}Result of read_file 1,113 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": " \"\"\"\n\n def __init__(\n self,\n url: str,\n stac_config: Dict[str, Any],\n provider: Optional[str],\n eodag_api: EODataAccessGateway,\n root: str = \"/\",\n ) -> None:\n super(StacItem, self).__init__(\n url=url,\n stac_config=stac_config,\n provider=provider,\n eodag_api=eodag_api,\n root=root,\n )\n\n def __get_item_list(\n self, search_results: SearchResult, catalog: Dict[str, Any]\n ) -> List[Dict[str, Any]]:\n \"\"\"Build STAC items list from EODAG search results\n\n :param search_results: EODAG search results\n :type search_results: :class:`~eodag.api.search_result.SearchResult`\n :param catalog: STAC catalog dict used for parsing item metadata\n :type catalog: dict\n :returns: STAC item dicts list\n :rtype: list\n \"\"\"\n if len(search_results) <= 0:",
"start_line": 180,
"end_line": 210,
"total_lines": 1387,
"is_truncated": false
}Generated tokens 113 tokens · stopped: STOP
Ah, maybe it's `get_items` or something else. Let's look at the class.
Looking back at the first `read_file` of `eodag/rest/stac.py` (lines 200-300), it was inside some method. Let me see the method name.
<channel|><|tool_call>call:read_file{end_line:210,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:180}<tool_call|><|tool_response>
Turn 10at 224 s145 tokens out13,490 prompt tokens
The method is `__get_item_list`. Wait, if `get_stac_item_from_product` doesn't have this logic, it might be because it's used for a single item and maybe it's handled differently or it was forgotten. But the requirement is to "make available both eodag-authenticated and origin raw assets". Let's look for all occurrences of `product_item["assets"]` in `eodag/rest/stac.py`.
TOOL CALL · run_command
{
"command": "grep -n \"product_item[\\\"assets\\\"]\" eodag/rest/stac.py"
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Generated tokens 145 tokens · stopped: STOP
The method is `__get_item_list`.
Wait, if `get_stac_item_from_product` doesn't have this logic, it might be because it's used for a single item and maybe it's handled differently or it was forgotten. But the requirement is to "make available both eodag-authenticated and origin raw assets".
Let's look for all occurrences of `product_item["assets"]` in `eodag/rest/stac.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "product_item[\"assets\"]" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 11at 231 s97 tokens out13,690 prompt tokens
Ah, the grep failed because I used double quotes in a way that might have been problematic or maybe it's not used that way. Let's try: `grep -n "product_item" eodag/rest/stac.py | grep "assets"`
TOOL CALL · run_command
{
"command": "grep -n \"product_item\" eodag/rest/stac.py | grep \"assets\""
}Result of run_command 490 characters
{
"status": "ok",
"stdout": "256: url_parts = urlparse(str(product_item[\"assets\"][\"downloadLink\"][\"href\"]))\n268: _dc_qs = product_item[\"assets\"][\"downloadLink\"].pop(\"_dc_qs\", None)\n274: product_item[\"assets\"][\"downloadLink\"][\n279: origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n291: product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\n",
"stderr": "",
"exit_code": 0
}Generated tokens 97 tokens · stopped: STOP
Ah, the grep failed because I used double quotes in a way that might have been problematic or maybe it's not used that way. Let's try:
`grep -n "product_item" eodag/rest/stac.py | grep "assets"`
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "product_item" eodag/rest/stac.py | grep "assets"<|"|>}<tool_call|><|tool_response>
Turn 12at 274 s830 tokens out13,964 prompt tokens
Yes, these are in `__get_item_list`.
Now let's check if `get_stac_item_from_product` should also have this.
In `get_stac_item_from_product` (lines 500-600), we have:
```python
product_dict = deepcopy(product.__dict__)
product_dict["assets"] = product.assets.as_dict()
# parse jsonpath
product_item = jsonpath_parse_dict_items(
item_model,
{
"product": product_dict,
"providers": provider_dict,
},
)
```
It then calls `format_dict_items(product_item, **format_args)`.
Wait, if `get_stac_item_from_product` is intended to return a STAC item, it should also provide the authenticated download links.
Let's see how the authenticated download links are handled in `__get_item_list`.
```python
# parse download link
url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
query_dict = parse_qs(url_parts.query)
without_arg_url = (
f"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}"
if url_parts.scheme
else f"{url_parts.netloc}{url_parts.path}"
)
# add provider to query-args
if self.provider:
query_dict.update(provider=[self.provider])
# add datacube query-string to query-args
_dc_qs = product_item["assets"]["downloadLink"].pop("_dc_qs", None)
if _dc_qs:
query_dict.update(_dc_qs=_dc_qs)
# update download link with up-to-date query-args
if query_dict:
product_item["assets"]["downloadLink"][
"href"
] = f"{without_arg_url}?{urlencode(query_dict, doseq=True)}"
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# replace origin asset urls with eodag-server ones
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
if query_dict:
origin_assets[asset_key][
"href"
] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
origin_assets[asset_key]["href"] += f"/{asset_key}"
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
This logic is quite specific. It modifies the `href` of `downloadLink` and `origin_assets`.
If `get_stac_item_from_product` doesn't have this, maybe it's not supposed to? Or maybe it's a bug.
But the prompt says "In server mode ... make available both eodag-authenticated and origin raw assets".
Wait, I noticed that `__get_item_list` is a private method of `StacItem`.
Let's see where it's called.
TOOL CALL · run_command
{
"command": "grep -n \"__get_item_list\" eodag/rest/stac.py"
}Result of run_command 171 characters
{
"status": "ok",
"stdout": "198: def __get_item_list(\n391: items[\"features\"] = self.__get_item_list(search_results, catalog)\n",
"stderr": "",
"exit_code": 0
}Generated tokens 830 tokens · stopped: STOP
Yes, these are in `__get_item_list`.
Now let's check if `get_stac_item_from_product` should also have this.
In `get_stac_item_from_product` (lines 500-600), we have:
```python
product_dict = deepcopy(product.__dict__)
product_dict["assets"] = product.assets.as_dict()
# parse jsonpath
product_item = jsonpath_parse_dict_items(
item_model,
{
"product": product_dict,
"providers": provider_dict,
},
)
```
It then calls `format_dict_items(product_item, **format_args)`.
Wait, if `get_stac_item_from_product` is intended to return a STAC item, it should also provide the authenticated download links.
Let's see how the authenticated download links are handled in `__get_item_list`.
```python
# parse download link
url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
query_dict = parse_qs(url_parts.query)
without_arg_url = (
f"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}"
if url_parts.scheme
else f"{url_parts.netloc}{url_parts.path}"
)
# add provider to query-args
if self.provider:
query_dict.update(provider=[self.provider])
# add datacube query-string to query-args
_dc_qs = product_item["assets"]["downloadLink"].pop("_dc_qs", None)
if _dc_qs:
query_dict.update(_dc_qs=_dc_qs)
# update download link with up-to-date query-args
if query_dict:
product_item["assets"]["downloadLink"][
"href"
] = f"{without_arg_url}?{urlencode(query_dict, doseq=True)}"
# add origin assets to product assets
origin_assets = product_item["assets"].pop("origin_assets")
if getattr(product, "assets", False):
# replace origin asset urls with eodag-server ones
for asset_key, asset_value in origin_assets.items():
origin_assets[asset_key]["href"] = without_arg_url
if query_dict:
origin_assets[asset_key][
"href"
] += f"/{asset_key}?{urlencode(query_dict, doseq=True)}"
else:
origin_assets[asset_key]["href"] += f"/{asset_key}"
product_item["assets"] = dict(product_item["assets"], **origin_assets)
```
This logic is quite specific. It modifies the `href` of `downloadLink` and `origin_assets`.
If `get_stac_item_from_product` doesn't have this, maybe it's not supposed to? Or maybe it's a bug.
But the prompt says "In server mode ... make available both eodag-authenticated and origin raw assets".
Wait, I noticed that `__get_item_list` is a private method of `StacItem`.
Let's see where it's called.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "__get_item_list" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 13at 283 s150 tokens out14,872 prompt tokens
It is called in `get_items` (presumably, around line 391). Now, what about `get_stac_item_from_product`? It returns `self.as_dict()`. Wait, `get_stac_item_from_product` is part of `StacCommon`'s subclass (actually `StacCommon` itself doesn't have it, `StacItem` does). Let's read `StacItem` class definition.
TOOL CALL · read_file
{
"end_line": 180,
"filepath": "``eodag/rest/stac.py``",
"start_line": 100
}Result of read_file 413 characters
{
"status": "error",
"error_type": "FileReadError",
"error_message": "404 Client Error for http+docker://localhost/v1.52/containers/43aa8fb98b3ce17fa62faf242958c7f20e345e6a3ea90be756649be935e7c916/archive?path=%2Fworkspace%2F%60%60eodag%2Frest%2Fstac.py%60%60: Not Found (\"Could not find the file /workspace/``eodag/rest/stac.py`` in container 43aa8fb98b3ce17fa62faf242958c7f20e345e6a3ea90be756649be935e7c916\")"
}Generated tokens 150 tokens · stopped: STOP
It is called in `get_items` (presumably, around line 391).
Now, what about `get_stac_item_from_product`?
It returns `self.as_dict()`.
Wait, `get_stac_item_from_product` is part of `StacCommon`'s subclass (actually `StacCommon` itself doesn't have it, `StacItem` does).
Let's read `StacItem` class definition.
<channel|><|tool_call>call:read_file{end_line:180,filepath:``eodag/rest/stac.py``,start_line:100}<tool_call|><|tool_response>
Turn 14at 357 s54 tokens out3,949 prompt tokens
Oops, I put backticks around the filename. My bad.
TOOL CALL · read_file
{
"end_line": 600,
"filepath": "eodag/rest/stac.py",
"start_line": 100
}Result of read_file 5,476 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": " \"\"\"Updates data using given input STAC dict data\n\n :param data: Catalog data (parsed STAC dict)\n :type data: dict\n \"\"\"\n self.data.update(data)\n\n # bbox: str to float\n if (\n \"extent\" in self.data.keys()\n and \"spatial\" in self.data[\"extent\"].keys()\n and \"bbox\" in self.data[\"extent\"][\"spatial\"].keys()\n ):\n for i, bbox in enumerate(self.data[\"extent\"][\"spatial\"][\"bbox\"]):\n self.data[\"extent\"][\"spatial\"][\"bbox\"][i] = [float(x) for x in bbox]\n # \"None\" values to None\n self.data = dict_items_recursive_apply(\n self.data, lambda k, v: None if v == \"None\" else v\n )\n\n # ids and titles as str\n self.data = dict_items_recursive_apply(\n self.data, lambda k, v: str(v) if k in [\"title\", \"id\"] else v\n )\n\n # empty stac_extensions: \"\" to []\n if not self.data.get(\"stac_extensions\", True):\n self.data[\"stac_extensions\"] = []\n\n @staticmethod\n def get_stac_extension(\n url: str, stac_config: Dict[str, Any], extension: str, **kwargs: Any\n ) -> Dict[str, str]:\n \"\"\"Parse STAC extension from config and return as dict\n\n :param url: Requested URL\n :type url: str\n :param stac_config: STAC configuration from stac.yml conf file\n :type stac_config: dict\n :param extension: Extension name\n :type extension: str\n :param kwargs: Additional variables needed for parsing extension\n :type kwargs: Any\n :returns: STAC extension as dictionnary\n :rtype: dict\n \"\"\"\n extension_model = deepcopy(stac_config).get(\"extensions\", {}).get(extension, {})\n\n # parse f-strings\n format_args = deepcopy(stac_config)\n format_args[\"extension\"] = {\n \"url\": url,\n \"properties\": kwargs.get(\"properties\", {}),\n }\n return format_dict_items(extension_model, **format_args)\n\n def as_dict(self) -> Dict[str, Any]:\n \"\"\"Returns object data as dictionnary\n\n :returns: STAC data dictionnary\n :rtype: dict\n \"\"\"\n return geojson.loads(geojson.dumps(self.data))\n\n __geo_interface__ = property(as_dict)\n\n\nclass StacItem(StacCommon):\n \"\"\"Stac item object\n\n :param url: Requested URL\n :type url: str\n :param stac_config: STAC configuration from stac.yml conf file\n :type stac_config: dict\n :param provider: (optional) Chosen provider\n :type provider: str\n :param eodag_api: EODAG python API instance\n :type eodag_api: :class:`eodag.api.core.EODataAccessGateway`\n :param root: (optional) API root\n :type root: str\n \"\"\"\n\n def __init__(\n self,\n url: str,\n stac_config: Dict[str, Any],\n provider: Optional[str],\n eodag_api: EODataAccessGateway,\n root: str = \"/\",\n ) -> None:\n super(StacItem, self).__init__(\n url=url,\n stac_config=stac_config,\n provider=provider,\n eodag_api=eodag_api,\n root=root,\n )\n\n def __get_item_list(\n self, search_results: SearchResult, catalog: Dict[str, Any]\n ) -> List[Dict[str, Any]]:\n \"\"\"Build STAC items list from EODAG search results\n\n :param search_results: EODAG search results\n :type search_results: :class:`~eodag.api.search_result.SearchResult`\n :param catalog: STAC catalog dict used for parsing item metadata\n :type catalog: dict\n :returns: STAC item dicts list\n :rtype: list\n \"\"\"\n if len(search_results) <= 0:\n return []\n\n item_model = self.__filter_item_model_properties(\n self.stac_config[\"item\"], str(search_results[0].product_type)\n )\n provider_model = deepcopy(self.stac_config[\"provider\"])\n\n # check if some items need to be converted\n need_conversion: Dict[str, Any] = {}\n for k, v in item_model[\"properties\"].items():\n if isinstance(v, str):\n conversion, item_model[\"properties\"][k] = get_metadata_path(\n item_model[\"properties\"][k]\n )\n if conversion is not None:\n need_conversion[k] = conversion\n # convert str to jsonpath if needed\n item_model[\"properties\"][k] = string_to_jsonpath(\n k, item_model[\"properties\"][k]\n )\n\n item_list: List[Dict[str, Any]] = []\n for product in search_results:\n # parse jsonpath\n provider_dict = jsonpath_parse_dict_items(\n provider_model,\n {\n \"provider\": self.eodag_api.providers_config[\n product.provider\n ].__dict__\n },\n )\n\n product_dict = deepcopy(product.__dict__)\n product_dict[\"assets\"] = product.assets.as_dict()\n\n product_item = jsonpath_parse_dict_items(\n item_model,\n {",
"start_line": 100,
"end_line": 249,
"total_lines": 1387,
"is_truncated": true
}Generated tokens 54 tokens · stopped: STOP
Oops, I put backticks around the filename. My bad.<channel|><|tool_call>call:read_file{end_line:600,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:100}<tool_call|><|tool_response>
Turn 15at 364 s87 tokens out5,627 prompt tokens
Okay, let's see the rest of `__get_item_list` and `get_stac_item_from_product`. The previous `read_file` stopped at 249.
TOOL CALL · read_file
{
"end_line": 600,
"filepath": "eodag/rest/stac.py",
"start_line": 250
}Result of read_file 6,739 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": " \"product\": product_dict,\n \"providers\": [provider_dict],\n },\n )\n\n # parse download link\n url_parts = urlparse(str(product_item[\"assets\"][\"downloadLink\"][\"href\"]))\n query_dict = parse_qs(url_parts.query)\n without_arg_url = (\n f\"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}\"\n if url_parts.scheme\n else f\"{url_parts.netloc}{url_parts.path}\"\n )\n\n # add provider to query-args\n if self.provider:\n query_dict.update(provider=[self.provider])\n # add datacube query-string to query-args\n _dc_qs = product_item[\"assets\"][\"downloadLink\"].pop(\"_dc_qs\", None)\n if _dc_qs:\n query_dict.update(_dc_qs=_dc_qs)\n\n # update download link with up-to-date query-args\n if query_dict:\n product_item[\"assets\"][\"downloadLink\"][\n \"href\"\n ] = f\"{without_arg_url}?{urlencode(query_dict, doseq=True)}\"\n\n # add origin assets to product assets\n origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n if getattr(product, \"assets\", False):\n # replace origin asset urls with eodag-server ones\n for asset_key, asset_value in origin_assets.items():\n origin_assets[asset_key][\"href\"] = without_arg_url\n if query_dict:\n origin_assets[asset_key][\n \"href\"\n ] += f\"/{asset_key}?{urlencode(query_dict, doseq=True)}\"\n else:\n origin_assets[asset_key][\"href\"] += f\"/{asset_key}\"\n\n product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\n\n # apply conversion if needed\n for prop_key, prop_val in need_conversion.items():\n conv_func, conv_args = prop_val\n # colon `:` in key breaks format() method, hide it\n formatable_prop_key = prop_key.replace(\":\", \"\")\n if conv_args is not None:\n product_item[\"properties\"][prop_key] = format_metadata(\n \"{%s#%s(%s)}\" % (formatable_prop_key, conv_func, conv_args),\n **{formatable_prop_key: product_item[\"properties\"][prop_key]},\n )\n else:\n product_item[\"properties\"][prop_key] = format_metadata(\n \"{%s#%s}\" % (formatable_prop_key, conv_func),\n **{formatable_prop_key: product_item[\"properties\"][prop_key]},\n )\n\n # parse f-strings\n format_args = deepcopy(self.stac_config)\n format_args[\"catalog\"] = catalog\n format_args[\"item\"] = product_item\n product_item: Dict[str, Any] = format_dict_items(\n product_item, **format_args\n )\n product_item[\"bbox\"] = [float(i) for i in product_item[\"bbox\"]]\n\n # remove empty properties\n product_item = self.__filter_item_properties_values(product_item)\n\n # update item link with datacube query-string\n if _dc_qs:\n url_parts = urlparse(str(product_item[\"links\"][0][\"href\"]))\n without_arg_url = (\n f\"{url_parts.scheme}://{url_parts.netloc}{url_parts.path}\"\n if url_parts.scheme\n else f\"{url_parts.netloc}{url_parts.path}\"\n )\n product_item[\"links\"][0][\n \"href\"\n ] = f\"{without_arg_url}?{urlencode(query_dict, doseq=True)}\"\n\n item_list.append(product_item)\n\n return item_list\n\n def get_stac_items(\n self, search_results: SearchResult, catalog: Dict[str, Any]\n ) -> Dict[str, Any]:\n \"\"\"Build STAC items from EODAG search results\n\n :param search_results: EODAG search results\n :type search_results: :class:`~eodag.api.search_result.SearchResult`\n :param catalog: STAC catalog dict used for parsing item metadata\n :type catalog: dict\n :returns: Items dictionnary\n :rtype: dict\n \"\"\"\n items_model = deepcopy(self.stac_config[\"items\"])\n\n search_results.numberMatched = search_results.properties[\"totalResults\"]\n search_results.numberReturned = len(search_results)\n\n # next page link\n if \"?\" in self.url:\n # search endpoint: use page url as self link\n for i, _ in enumerate(items_model[\"links\"]):\n if items_model[\"links\"][i][\"rel\"] == \"self\":\n items_model[\"links\"][i][\"href\"] = catalog[\"url\"]\n\n search_results.timeStamp = (\n datetime.now(timezone.utc).isoformat().replace(\"+00:00\", \"\") + \"Z\"\n )\n\n # parse jsonpath\n items = jsonpath_parse_dict_items(\n items_model, {\"search_results\": search_results.__dict__}\n )\n # parse f-strings\n format_args = deepcopy(self.stac_config)\n format_args[\"catalog\"] = catalog\n items = format_dict_items(items, **format_args)\n\n # last page: remove next page link\n if (\n search_results.properties[\"itemsPerPage\"]\n * search_results.properties[\"page\"]\n >= search_results.properties[\"totalResults\"]\n ):\n items[\"links\"] = [link for link in items[\"links\"] if link[\"rel\"] != \"next\"]\n\n # provide static catalog to build features\n if \"search?\" in catalog[\"url\"]:\n catalog[\"url\"] = os.path.join(\n catalog[\"url\"].split(\"search?\")[0],\n \"collections\",\n catalog[\"id\"],\n )\n else:\n catalog[\"url\"] = catalog[\"url\"].split(\"?\")[0]\n items[\"features\"] = self.__get_item_list(search_results, catalog)\n\n self.update_data(items)\n return geojson.loads(geojson.dumps(self.data))\n\n def __filter_item_model_properties(\n self, item_model: Dict[str, Any], product_type: str\n ) -> Dict[str, Any]:\n \"\"\"Filter item model depending on product type metadata and its extensions.",
"start_line": 250,
"end_line": 399,
"total_lines": 1387,
"is_truncated": true
}Generated tokens 87 tokens · stopped: STOP
Okay, let's see the rest of `__get_item_list` and `get_stac_item_from_product`.
The previous `read_file` stopped at 249.
<channel|><|tool_call>call:read_file{end_line:600,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:250}<tool_call|><|tool_response>
Turn 16at 368 s65 tokens out7,590 prompt tokens
Still need to find `get_stac_item_from_product`. I'll search for it.
TOOL CALL · run_command
{
"command": "grep -n \"def get_stac_item_from_product\" eodag/rest/stac.py"
}Result of run_command 145 characters
{
"status": "ok",
"stdout": "500: def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:\n",
"stderr": "",
"exit_code": 0
}Generated tokens 65 tokens · stopped: STOP
Still need to find `get_stac_item_from_product`. I'll search for it.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "def get_stac_item_from_product" eodag/rest/stac.py<|"|>}<tool_call|><|tool_response>
Turn 17at 372 s48 tokens out7,726 prompt tokens
Let's read it.
TOOL CALL · read_file
{
"end_line": 550,
"filepath": "eodag/rest/stac.py",
"start_line": 500
}Result of read_file 2,025 characters
{
"status": "ok",
"filepath": "eodag/rest/stac.py",
"content": " def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:\n \"\"\"Build STAC item from EODAG product\n\n :param product: EODAG product\n :type product: :class:`eodag.api.product._product.EOProduct`\n :returns: STAC item\n :rtype: list\n \"\"\"\n product_type = str(product.product_type)\n\n item_model = self.__filter_item_model_properties(\n self.stac_config[\"item\"], product_type\n )\n provider_model = deepcopy(self.stac_config[\"provider\"])\n\n provider_dict = jsonpath_parse_dict_items(\n provider_model,\n {\"provider\": self.eodag_api.providers_config[product.provider].__dict__},\n )\n\n catalog = StacCatalog(\n url=self.url.split(\"/items\")[0],\n stac_config=self.stac_config,\n root=self.root,\n provider=self.provider,\n eodag_api=self.eodag_api,\n catalogs=[product_type],\n )\n\n product_dict = deepcopy(product.__dict__)\n product_dict[\"assets\"] = product.assets.as_dict()\n\n # parse jsonpath\n product_item = jsonpath_parse_dict_items(\n item_model,\n {\n \"product\": product_dict,\n \"providers\": provider_dict,\n },\n )\n # parse f-strings\n format_args = deepcopy(self.stac_config)\n format_args[\"catalog\"] = dict(\n catalog.as_dict(), **{\"url\": catalog.url, \"root\": catalog.root}\n )\n format_args[\"item\"] = product_item\n product_item = format_dict_items(product_item, **format_args)\n product_item[\"bbox\"] = [float(i) for i in product_item[\"bbox\"]]\n\n # remove empty properties\n product_item = self.__filter_item_properties_values(product_item)",
"start_line": 500,
"end_line": 550,
"total_lines": 1387,
"is_truncated": false
}Generated tokens 48 tokens · stopped: STOP
Let's read it.
<channel|><|tool_call>call:read_file{end_line:550,filepath:<|"|>eodag/rest/stac.py<|"|>,start_line:500}<tool_call|><|tool_response>
Patch, tests and logs
Final code change Included
Test output Missing
Not saved for this rollout. Nothing has been inferred or reconstructed.
Test errors Missing
Not saved for this rollout. Nothing has been inferred or reconstructed.
Test report (JUnit) Missing
Not saved for this rollout. Nothing has been inferred or reconstructed.
Agent log Included
[ 0.0s] 📋 System Prompt: You are a principal Python software engineer resolving a repository issue in `/workspace`.
[ 0.0s] 🎯 Task Prompt: You are evaluating a software engineering task for repository CS-SI/eodag.
[ 23.4s] 💭 (1153 chars) "The user wants to implement the "alternate assets" STAC extension in `eodag-server`.
When in server mode, both the authe..."
[ 23.4s] 🔧 run_command grep -rn --include="*.py" -e "assets" -e "href" eodag/rest/stac.py eodag/api/pro
[ 23.5s] → eodag/rest/stac.py:245: product_dict["assets"] = product.assets.as_dict()
[ 44.5s] 💭 (932 chars) "In `eodag/rest/stac.py`, around line 245:
```python
eodag/rest/stac.py:245: product_dict["assets"] = product...."
[ 44.5s] 📖 read_file (eodag/rest/stac.py)
[ 44.6s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' )\n\n
item_list: List[Dict[str…
[ 91.0s] 💭 (2222 chars) "The current logic in `eodag/rest/stac.py` (lines 278-291) does this:
1. It pops `origin_assets` from `product_item["asse..."
[ 91.0s] 📖 read_file (eodag/api/product/_assets.py)
[ 91.0s] ✓ {'status': 'ok', 'filepath': 'eodag/api/product/_assets.py', 'content': '# -*- coding: utf-8 -*-\n#
Copyright 2023, CS G…
[ 105.4s] 💭 (534 chars) "`Asset.as_dict()` just returns `self.data`.
`AssetsDict.as_dict()` returns a dict of `v.as_dict()` for each asset.
Now ..."
[ 105.4s] 📖 read_file (eodag/rest/stac.py)
[ 105.5s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': '# -*- coding: utf-8 -*-\n# Copyright
2018, CS Systemes d\…
[ 109.9s] 💭 (73 chars) "I need to find `item_model`. Let's search for it in `eodag/rest/stac.py`."
[ 109.9s] 🔧 run_command grep -n "item_model =" eodag/rest/stac.py
[ 109.9s] → 213: item_model = self.__filter_item_model_properties(
[ 114.1s] 💭 (48 chars) "Let's read `eodag/rest/stac.py` around line 213."
[ 114.1s] 📖 read_file (eodag/rest/stac.py)
[ 114.2s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' ) -> List[Dict[str, Any]]:\n
"""Build STAC ite…
[ 173.8s] 💭 (4321 chars) "The `item_model` comes from `self.stac_config["item"]`.
The `stac_config` is loaded from `stac.yml`.
Let's see how the ..."
[ 173.8s] 📖 read_file (eodag/rest/stac.py)
[ 173.9s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' def get_stac_item_from_product(self,
product: EOProdu…
[ 197.0s] 💭 (1162 chars) "In `get_stac_item_from_product`, it seems the assets are just converted using
`jsonpath_parse_dict_items` and `format_di..."
[ 197.0s] 🔧 run_command grep -n "def get_stac_items_from_products" eodag/rest/stac.py
[ 197.1s] → error (exit 0):
[ 207.6s] 💭 (204 chars) "Ah, maybe it's `get_items` or something else. Let's look at the class.
Looking back at the first `read_file` of `eodag/r..."
[ 207.6s] 📖 read_file (eodag/rest/stac.py)
[ 207.7s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' """\n\n def __init__(\n
self,\n url:…
[ 217.1s] 💭 (376 chars) "The method is `__get_item_list`.
Wait, if `get_stac_item_from_product` doesn't have this logic, it might be because it'..."
[ 217.1s] 🔧 run_command grep -n "product_item[\"assets\"]" eodag/rest/stac.py
[ 217.2s] → error (exit 0):
[ 224.3s] 💭 (194 chars) "Ah, the grep failed because I used double quotes in a way that might have been problematic
or maybe it's not used that w..."
[ 224.3s] 🔧 run_command grep -n "product_item" eodag/rest/stac.py | grep "assets"
[ 224.3s] → 256: url_parts = urlparse(str(product_item["assets"]["downloadLink"]["href"]))
[ 266.6s] 💭 (2952 chars) "Yes, these are in `__get_item_list`.
Now let's check if `get_stac_item_from_product` should also have this.
In `get_sta..."
[ 266.6s] 🔧 run_command grep -n "__get_item_list" eodag/rest/stac.py
[ 266.6s] → 198: def __get_item_list(
[ 275.5s] 💭 (311 chars) "It is called in `get_items` (presumably, around line 391).
Now, what about `get_stac_item_from_product`?
It returns `se..."
[ 275.5s] 📖 read_file (``eodag/rest/stac.py``)
[ 275.5s] ❌ {'status': 'error', 'error_type': 'FileReadError', 'error_message': '404 Client Error for
http+docker://localhost/v1.52/…
[ 350.3s] 💭 (50 chars) "Oops, I put backticks around the filename. My bad."
[ 350.3s] 📖 read_file (eodag/rest/stac.py)
[ 350.3s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' """Updates data using given input
STAC dict data\…
[ 356.4s] 💭 (120 chars) "Okay, let's see the rest of `__get_item_list` and `get_stac_item_from_product`.
The previous `read_file` stopped at 249."
[ 356.4s] 📖 read_file (eodag/rest/stac.py)
[ 356.4s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' "product":
product_dict,\n …
[ 361.0s] 💭 (68 chars) "Still need to find `get_stac_item_from_product`. I'll search for it."
[ 361.0s] 🔧 run_command grep -n "def get_stac_item_from_product" eodag/rest/stac.py
[ 361.1s] → 500: def get_stac_item_from_product(self, product: EOProduct) -> Dict[str, Any]:
[ 365.1s] 💭 (14 chars) "Let's read it."
[ 365.1s] 📖 read_file (eodag/rest/stac.py)
[ 365.1s] ✓ {'status': 'ok', 'filepath': 'eodag/rest/stac.py', 'content': ' def get_stac_item_from_product(self,
product: EOProdu…
Native result row
{
"agent_error": "Agent exceeded session timeout (7.5 min)",
"duration_seconds": 459.45,
"error": "Empty agent patch",
"grade": {
"error": "Empty agent patch",
"resolved": false,
"strict_clean_patch": false,
"test_exit_code": -1
},
"instance_id": "cs-si__eodag-961",
"pass_idx": 0,
"patch_chars": 0,
"phase1_seconds": 459.45,
"repo": "CS-SI/eodag",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/cs-si__eodag-961__p0__r7.jsonl",
"resolved": false,
"rollout_idx": 7,
"run_key": "cs-si__eodag-961__p0__r7",
"strict_clean_patch": false,
"tool_calls": 17,
"total_llm_calls": 17,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_cs-si__eodag-961__p0__r7.json"
}