Add windows_to_csv.py: export windows JSON to CSV with sound paths

[Copilot]

Users need a way to convert windows_mapping_1.5overlap.json to a CSV and enrich it with the sound_path for each sound_id, sourced from annotations_filtered_dclde2026.json.

Changes

• New script windows_to_csv.py: Reads a windows mapping JSON, joins sound_path from an annotations JSON on sound_id, and writes a CSV with all original window fields plus the appended sound_path column.
  • Preserves field order from the source JSON
  • Warns on unmatched sound_ids (emits empty sound_path)
  • Gracefully skips malformed annotation entries (missing id or file_name_path)
  • Handles empty windows input without error

Usage

python windows_to_csv.py \
    --windows /home/v-druizlopez/bioacoustics/orcas_dclde2026/data/windows_mapping_1.5overlap.json \
    --annotations /home/v-druizlopez/bioacoustics/orcas_dclde2026/data/annotations_filtered_dclde2026.json \
    --output windows_mapping_1.5overlap.csv

Output CSV columns: all fields from the windows JSON (e.g. window_id, sound_id, start, end, label) plus sound_path.

Original prompt

I want to add to that csv the sound path corresponding to sound_id according to /home/v-druizlopez/bioacoustics/orcas_dclde2026/data/annotations_filtered_dclde2026.json

[Chronological Review: The conversation began with the user expressing a desire to create a CSV file using data from a JSON file named "windows_mapping_1.5overlap.json." The user provided the file path for this JSON file. Subsequently, the user requested to add sound paths corresponding to sound IDs from another JSON file, "annotations_filtered_dclde2026.json," to the CSV.]

[Intent Mapping:

1. "I want to create a csv using the information in windows_mapping_1.5overlap.json" - User's initial request to create a CSV from a specific JSON file.
2. "this is the path: /home/v-druizlopez/bioacoustics/orcas_dclde2026/data/windows_mapping_1.5overlap.json" - User provided the path to the JSON file.
3. "I want to add to that csv the sound path corresponding to sound_id according to /home/v-druizlopez/bioacoustics/orcas_dclde2026/data/annotations_filtered_dclde2026.json" - User's follow-up request to enhance the CSV with additional data from another JSON file.]

[Technical Inventory:

• JSON Files: "windows_mapping_1.5overlap.json" and "annotations_filtered_dclde2026.json" are the primary data sources.
• CSV: The user aims to create and modify a CSV file based on the data from these JSON files.]

[Code Archaeology: No specific code files or functions have been discussed or modified yet, as the conversation is focused on data extraction and CSV creation.]

[Progress Assessment: The user has outlined the necessary steps to create the CSV and add additional data, but no actual implementation has been executed yet.]

[Context Validation: All necessary context for continuing the work is captured, including file paths and user intentions regarding the CSV creation and data integration.]

[Recent Commands Analysis:

• Last Agent Commands: The user provided paths to two JSON files and specified actions to be taken regarding CSV creation and data addition.
• Tool Results Summary: No tools have been executed yet; the conversation is still in the planning phase.
• Pre-Summary State: The agent was actively discussing the creation of a CSV file and the integration of sound paths from another JSON file when the token budget was exceeded.
• Operation Context: The user is focused on creating a CSV file that combines data from two JSON files, which is essential for their bioacoustics project.]

1. Conversation Overview: - Primary Objectives: 1. "I want to create a csv using the information in windows_mapping_1.5overlap.json" 2. "I want to add to that csv the sound path corresponding to sound_id according to /home/v-druizlopez/bioacoustics/orcas_dclde2026/data/annotations_filtered_dclde2026.json" - Session Context: The user is working on a bioacoustics project and needs to create a CSV file from specific JSON data. - User Intent Evolution: The user initially focused on creating a CSV and later expanded the request to include additional data from another JSON file.

2. Technical Foundation:

• JSON File 1: "windows_mapping_1.5overlap.json" - Contains data for CSV creation.
• JSON File 2: "annotations_filtered_dclde2026.json" - Contains sound paths to be added to the CSV.

3. Codebase Status:

• No specific code files or functions have been discussed or modified yet.

4. Problem Resolution:

• Issues Encountered: None reported yet; the conversation is still in the planning phase.
• Solutions Implemented: No solutions have been implemented yet.
• Debugging Context: Not applicable at this stage.
• Lessons Learned: Not applicable at this stage.

5. Progress Tracking:

• Completed Tasks: None yet; the user has outlined the tasks but has not executed them.
• Partially Complete Work: The user has provided paths and intentions for the CSV creation and data integration.
• Validated Outcomes: None yet.

6. Active Work State:

• Current Focus: The user is focused on creating a CSV file and integrating sound paths from another JSON file.
• Recent Context: The user provided paths to the JSON files and specified actions for CSV creation.
• Working Code: No code snippets have been discussed yet.
• Immediate Context: The user is preparing to create a CSV file based on the provided JSON data.

7. Recent Operations:

• Last Agent Commands: User provided paths to JSON files and specified actions for CSV creation.
• Tool Results Summary: No tools have been executed yet; the conversation is still in the planning phase.
• Pre-Summary State: The agent was discussing the creation of a CSV file and data integration when the token budget was exceeded.
• Operation Context: The user is focused on creating a CSV file that combines data from two JSON files for their bioacoustics project.

8. Continuation Plan:

• [Pending Task 1]: Create a CSV using data from "windows_mapping_1.5overlap.json."
• [Pending Task 2]: Add sound paths corresponding to sound IDs from "an...

Created from VS Code.

---

💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.