fix(integrations): updated ffmpeg file input to support list of strings

[Vedantsahai18]

PR Type

Enhancement, Documentation

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Description

• Enhanced FFmpeg integration to support multiple file inputs.

• Updated FFmpeg command handling for list of base64-encoded files.

• Improved documentation for FFmpeg and Cloudinary integrations.

• Adjusted schemas and type definitions for compatibility.

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Changes walkthrough 📝

	Relevant files
Enhancement	8 files Tools.py Updated FFmpeg file input to accept list of strings            +2/-2      openapi_model.py Refactored generic ListResponse type definition                    +1/-1      Tools.py Updated FFmpeg file input to accept list of strings            +2/-2      ffmpeg.py Enhanced FFmpeg command handling for multiple files            +33/-10  create_agent_request.json Adjusted schema definitions for default settings                  +24/-303 create_task_request.json Adjusted schema definitions for default settings                  +21/-301 ffmpeg.tsp Updated FFmpeg type specification for multiple file inputs +1/-1      openapi-1.0.0.yaml Updated OpenAPI schema for FFmpeg file input                          +10/-2
Formatting	1 files generate_changelog.py Minor formatting adjustment in changelog script                    +1/-1
Documentation	2 files cloudinary.mdx Added link to Cloudinary documentation for file uploads    +1/-1      ffmpeg.mdx Documented FFmpeg support for multiple file inputs              +8/-1

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EntelligenceAI PR Summary

Purpose:

• Enhance usability and maintainability of FFmpeg integration.

Changes:

• Enhancement: Modified file attribute to accept a list of base64 encoded strings, enabling simultaneous file processing.
• Refactor: Replaced $ref references with direct object types in JSON schema for improved maintainability.
• Documentation: Updated to clarify file argument usage and added user reference links.

Impact:

• Improved flexibility and robustness in FFmpeg integration, with enhanced parallel processing capabilities and clearer, more maintainable codebase.

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Important

Enhanced FFmpeg integration to support multiple file inputs, updated schemas, and improved documentation.

• Enhancement:
  • file attribute in Tools.py and ffmpeg.py now accepts a list of base64 encoded strings.
  • Updated FFmpeg command handling in ffmpeg.py for multiple file inputs.
• Schema Changes:
  • Replaced $ref with direct object types in create_agent_request.json and create_task_request.json.
• Documentation:
  • Updated ffmpeg.mdx to document support for multiple file inputs.
  • Added Cloudinary documentation link in cloudinary.mdx.

^{This description was created by for 1ecda90. It will automatically update as commits are pushed.}

[qodo-merge-pro-for-open-source]

CI Feedback 🧐

(Feedback updated until commit 651b464)

A test triggered by this PR failed. Here is an AI-generated analysis of the failure:

Action: Typecheck

Failed stage: Generate openapi code [❌]

Failed test name: ""

Failure summary: The action failed because the tsp command was not found in the system. The script tried to execute tsp compile . in the typespec/ directory, but the TypeSpec compiler (tsp) was not installed or not available in the system PATH.

Relevant error logs: 1: ##[group]Operating System 2: Ubuntu ... 201: Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.9/x64 202: Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.12.9/x64 203: LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.12.9/x64/lib 204: ##[endgroup] 205: + set -e 206: + cd typespec/ 207: + tsp compile . 208: scripts/generate_openapi_code.sh: line 31: tsp: command not found 209: ##[error]Process completed with exit code 127.

[qodo-merge-pro-for-open-source]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 3 🔵🔵🔵⚪⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Resource Management The temporary directory created is not explicitly cleaned up after use, which could lead to resource leaks. Consider using a context manager or explicit cleanup. temp_dir = tempfile.mkdtemp() Error Handling The code assumes input_data is a list in the validation loop but doesn't properly handle the case when it's a single decoded string. This could lead to type errors. if isinstance(input_data, list): for data in input_data: is_valid, input_mime = await validate_format(data) if not is_valid: return FfmpegSearchOutput( fileoutput="Error: Unsupported input file format", result=False, mime_type=None, )

[qodo-merge-pro-for-open-source]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
Possible issue	Handle None input case properly The input validation needs to handle the case when input_data is None. Currently if arguments.file is None, the code will raise a ValueError with "Invalid file input" but this contradicts the type definition which allows None. integrations-service/integrations/utils/integrations/ffmpeg.py [68-74] -if isinstance(arguments.file, str): +if arguments.file is None: + input_data = [] +elif isinstance(arguments.file, str): input_data = [base64.b64decode(arguments.file)] # Convert single str to list elif isinstance(arguments.file, list): input_data = [base64.b64decode(file) for file in arguments.file] else: msg = "Invalid file input" raise ValueError(msg) Apply this suggestion Suggestion importance[1-10]: 8 __ Why: The suggestion fixes a critical issue where None input would raise an error despite being allowed by the type definition. This improves robustness and maintains consistency with the API contract.	Medium
General	✅ Remove redundant input validation logic The validation logic incorrectly checks input_data as both a list and non-list. Since input_data is always a list after the initial processing, the else branch can never be reached. integrations-service/integrations/utils/integrations/ffmpeg.py [81-97] -if isinstance(input_data, list): - for data in input_data: - is_valid, input_mime = await validate_format(data) - if not is_valid: - return FfmpegSearchOutput( - fileoutput="Error: Unsupported input file format", - result=False, - mime_type=None, - ) -else: - is_valid, input_mime = await validate_format(input_data) +for data in input_data: + is_valid, input_mime = await validate_format(data) if not is_valid: return FfmpegSearchOutput( fileoutput="Error: Unsupported input file format", result=False, mime_type=None, ) [Suggestion has been applied] Suggestion importance[1-10]: 7 __ Why: The suggestion eliminates redundant code by removing an unnecessary conditional branch, since input_data is always a list. This improves code clarity and maintainability.	Medium

[entelligence-ai-pr-reviews]

Walkthrough

The pull request enhances FFmpeg integration by allowing the file argument to accept both single and multiple base64 encoded strings. This update spans across Python models, TypeScript specifications, and documentation, ensuring consistency and clarity. JSON schema definitions have been refined by replacing references with direct object types, improving maintainability. Additionally, minor code refactoring and documentation updates support these changes, enhancing overall functionality and user guidance.

Changes

File(s)	Summary
agents-api/agents_api/autogen/Tools.py, integrations-service/integrations/autogen/Tools.py	Modified file attribute in FfmpegSearchArguments and FfmpegSearchArgumentsUpdate to accept a list of strings.
documentation/docs/integrations/media_file_processing/cloudinary.mdx, documentation/docs/integrations/media_file_processing/ffmpeg.mdx	Added Cloudinary link and clarified file argument can be a single or list of base64 encoded strings.
schemas/create_agent_request.json, schemas/create_task_request.json	Replaced $ref with direct object type for schema definitions, added titles for clarity.
integrations-service/integrations/utils/integrations/ffmpeg.py	Enhanced base64 decoding logic to handle lists of files and improved error handling.
typespec/tools/ffmpeg.tsp, typespec/tsp-output/@typespec/openapi3/openapi-1.0.0.yaml	Updated file attribute to accept a string or array of strings, reflected in OpenAPI spec.

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[ellipsis-dev]

👍 Looks good to me! Reviewed everything up to b7b76e1 in 1 minute and 46 seconds

More details

• Looked at 1078 lines of code in 11 files
• Skipped 0 files when reviewing.
• Skipped posting 4 drafted comments based on config settings.

1. typespec/tools/ffmpeg.tsp:12

• Draft comment:
  Updating the 'file' property to accept both a string and an array of strings is a good change. Make sure the implementation that decodes and processes these base64 strings handles both cases correctly and provides a clear error if multiple files are passed when only one is supported by FFmpeg.
• Reason this comment was not posted:
  Comment did not seem useful. Confidence is useful = 0% <= threshold 50%
  This comment is asking the author to ensure that the implementation handles certain cases correctly and provides a clear error message. It is not making a specific code suggestion or asking for a specific test to be written. It is more of a general request for confirmation and testing, which violates the rules.

2. typespec/tsp-output/@typespec/openapi3/openapi-1.0.0.yaml:8160

• Draft comment:
  The OpenAPI schema for 'FfmpegSearchArguments' now uses 'anyOf' for the 'file' property, which correctly reflects the updated Typespec model. Ensure that consumers of your API are aware of this change and that downstream processing properly handles both a single string and an array.
• Reason this comment was not posted:
  Comment did not seem useful. Confidence is useful = 0% <= threshold 50%
  This comment is purely informative, as it describes a change in the OpenAPI schema and advises the author to ensure that consumers are aware of the change. It does not provide a specific code suggestion or ask for a test to be written.

3. typespec/tsp-output/@typespec/openapi3/openapi-1.0.0.yaml:8160

• Draft comment:
  In Tools.FfmpegSearchArguments, the 'file' property now uses an 'anyOf' to allow a single base64 string or an array of strings. Please update the description to clarify that even when an array is provided, only a single file is processed (given FFmpeg’s current limitations). Consider using 'oneOf' if mutual exclusivity is intended.
• Reason this comment was not posted:
  Marked as duplicate.

4. typespec/tsp-output/@typespec/openapi3/openapi-1.0.0.yaml:8168

• Draft comment:
  Similarly, in Tools.FfmpegSearchArgumentsUpdate, the 'file' property now accepts either a string or an array of strings. Please update the documentation to reflect this change and clarify that only a single file may be processed unless multi-file support is added. Consider using 'oneOf' if the types should be mutually exclusive.
• Reason this comment was not posted:
  Marked as duplicate.

Workflow ID: wflow_O6DqSCkvTz93LKY2

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👍 Looks good to me! Incremental review on fd0a188 in 40 seconds

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1. agents-api/agents_api/autogen/openapi_model.py:37

• Draft comment:
  Good refactoring using Generic. Ensure the type variable usage (DataT) is consistent across models.
• Reason this comment was not posted:
  Confidence changes required: 0% <= threshold 50%
  None

2. agents-api/agents_api/workflows/task_execution/__init__.py:397

• Draft comment:
  Good check for None on 'self.context'. Consider logging extra context if this error occurs for easier debugging.
• Reason this comment was not posted:
  Confidence changes required: 0% <= threshold 50%
  None

3. agents-api/agents_api/workflows/task_execution/helpers.py:70

• Draft comment:
  Avoid using mutable default arguments (e.g., user_state={} ). Use None and assign {} inside the function to prevent shared state.
• Reason this comment was not posted:
  Comment was not on a location in the diff, so it can't be submitted as a review comment.

4. agents-api/agents_api/autogen/openapi_model.py:37

• Draft comment:
  Refactor: Use standard Generic syntax (Generic[DataT]) for ListResponse.
• Reason this comment was not posted:
  Confidence changes required: 0% <= threshold 50%
  None

5. agents-api/agents_api/workflows/task_execution/__init__.py:397

• Draft comment:
  Good defensive check: Ensure 'self.context' is not None before calling transition in YieldStep.
• Reason this comment was not posted:
  Confidence changes required: 0% <= threshold 50%
  None

6. agents-api/agents_api/workflows/task_execution/helpers.py:82

• Draft comment:
  Validation added: Check that 'execution_input.execution' is not None to avoid runtime errors.
• Reason this comment was not posted:
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❌ Changes requested. Incremental review on 9559b4d in 1 minute and 27 seconds

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1. integrations-service/integrations/utils/integrations/ffmpeg.py:81

• Draft comment:
  Consider including consistent error response fields (i.e., result and mime_type) in the case when input_data isn’t a list, as done in the unsupported format branch.
• Reason this comment was not posted:
  Marked as duplicate.

2. integrations-service/integrations/utils/integrations/ffmpeg.py:86

• Draft comment:
  Consider using asyncio.gather to concurrently validate multiple file inputs for potential performance improvement.
• Reason this comment was not posted:
  Confidence changes required: 33% <= threshold 50%
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1. integrations-service/integrations/utils/integrations/ffmpeg.py:81

• Draft comment:
  Prefer multi-line formatting for clarity in error response.
• Reason this comment was not posted:
  Confidence changes required: 0% <= threshold 50%
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2. integrations-service/integrations/utils/integrations/ffmpeg.py:81

• Draft comment:
  The multi-line formatting improves readability. Note that the type-check for input_data being a list might be redundant since it's always set to a list above. Consider simplifying if appropriate.
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  Confidence changes required: 33% <= threshold 50%
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