Skip to content

Conversation

@elite1238
Copy link
Collaborator

@elite1238 elite1238 commented Dec 28, 2025

Overview

Added a professional Clinical Analysis Report Generator module for processing DAIC analysis data and generating PDF reports using Google's Gemini API.

What's Added

  • Complete clinical-report-generator module with proper directory structure
  • Environment-based configuration (.env)
  • Comprehensive logging system
  • PDF report generation from Gemini AI analysis
  • Security best practices (API key management, .gitignore)

Features

  • Reads DAIC analysis reports
  • Generates structured clinical insights using Gemini AI
  • Exports professional PDF reports with styling
  • Comprehensive error handling and logging

Testing

Tested successfully with sample DAIC data from Model-Speech module.

Dependencies

  • google-genai
  • markdown
  • xhtml2pdf
  • python-dotenv

Summary by CodeRabbit

Release Notes

  • New Features

    • Generate clinical analysis reports directly from input data
    • Automatic conversion to professionally styled PDF reports
    • Configurable model selection and API integration
  • Documentation

    • Comprehensive project setup and quick-start guide
    • Environment configuration template with security best practices
    • Usage examples and troubleshooting documentation

✏️ Tip: You can customize this high-level summary in your review settings.

@coderabbitai
Copy link

coderabbitai bot commented Dec 28, 2025

📝 Walkthrough

Walkthrough

This PR introduces a complete clinical report generator application that reads DAIC analysis data, generates clinical reports via Google's Gemini API, and exports them as PDF documents. It includes project configuration files, comprehensive documentation, repository management, application logic with end-to-end orchestration, and sample analysis data.

Changes

Cohort / File(s) Summary
Project Configuration & Setup
clinical-report-generator/.env.example, clinical-report-generator/requirements.txt
Added environment configuration template with placeholders for Gemini API key, model name, file paths, and log level. Added four Python dependencies: google-genai, markdown, xhtml2pdf, and python-dotenv.
Documentation & Repository Management
clinical-report-generator/README.md, clinical-report-generator/.gitignore
Added comprehensive project documentation covering structure, setup, configuration, usage, logging, security practices, and troubleshooting. Added gitignore covering Python artifacts, virtual environments, IDE files, OS junk, and project-specific directories with selective tracking via .gitkeep.
Directory Placeholders
clinical-report-generator/output/.gitkeep
Added placeholder file to preserve output directory in version control.
Application Logic
clinical-report-generator/src/clinical_report_generator.py
Implemented ClinicalReportGenerator class with environment-driven configuration, logging setup, and methods for: reading DAIC analysis input data with fallback generation, generating clinical reports via Gemini API with multi-step prompts, converting Markdown reports to styled PDF via HTML/CSS rendering, and orchestrating the full workflow. Includes main entry point with error handling.
Sample Data
daic_analysis_report.txt
Added sample DAIC analysis report containing global state-determining indicators for tremor and disfluency, and session-level data with hidden norm means, frame counts, and vocabulary lists.

Sequence Diagram

sequenceDiagram
    actor User
    participant App as ClinicalReportGenerator
    participant FileSystem as File System
    participant API as Gemini API
    participant Converter as PDF Converter
    
    User->>App: run()
    activate App
    
    App->>FileSystem: read_daic_analysis_report()
    alt Input file exists
        FileSystem-->>App: Analysis data
    else Input file missing
        App->>FileSystem: Generate sample data
        FileSystem-->>App: Sample data
    end
    
    App->>API: generate_clinical_analysis_report(input_data)
    activate API
    API-->>App: Markdown report
    deactivate API
    
    App->>Converter: create_pdf_report(markdown_content)
    activate Converter
    Converter->>Converter: Convert Markdown to HTML
    Converter->>Converter: Apply CSS styling
    Converter->>FileSystem: Render and save PDF
    Converter-->>App: PDF created
    deactivate Converter
    
    App-->>User: Workflow complete
    deactivate App
Loading

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25 minutes

Poem

🐰 Hops with delight,
DAIC data flows right,
Gemini speaks truth,
Markdown to PDF—smooth!
Reports taking flight! ✨📄

Pre-merge checks and finishing touches

❌ Failed checks (1 inconclusive)
Check name Status Explanation Resolution
Title check ❓ Inconclusive The title 'Created report generator' is vague and generic, using non-descriptive language that doesn't convey the specific purpose or domain of the changeset. Refine the title to be more specific, such as 'Add Clinical Analysis Report Generator with Gemini API integration' to clearly indicate the primary change and its context.
✅ Passed checks (2 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Docstring Coverage ✅ Passed Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.
✨ Finishing touches
  • 📝 Generate docstrings
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch feature/clinical-report-generator

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share

Comment @coderabbitai help to get the list of available commands and usage tips.

Copy link

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 6

🧹 Nitpick comments (6)
clinical-report-generator/README.md (2)

7-25: Add language identifier to fenced code blocks.

Per static analysis (MD040), fenced code blocks should specify a language for proper syntax highlighting and accessibility.

Suggested fix
-```
+```text
 clinical-report-generator/
 ├── src/

136-147: Add language identifier to input data format code block.

Suggested fix
-```
+```text
 Global State-Determining Indicators:
 Tremor: X words (examples)
clinical-report-generator/src/clinical_report_generator.py (4)

30-37: LOG_LEVEL validation could prevent startup failures.

If an invalid LOG_LEVEL (e.g., "INVALID") is set in the environment, getattr(logging, LOG_LEVEL) will raise an AttributeError, crashing the application with an unhelpful error.

Suggested fix
 LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO")
+VALID_LOG_LEVELS = {"DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"}
+if LOG_LEVEL.upper() not in VALID_LOG_LEVELS:
+    LOG_LEVEL = "INFO"
 LOG_DIR = Path("logs")
 LOG_DIR.mkdir(exist_ok=True)

 logging.basicConfig(
-    level=getattr(logging, LOG_LEVEL),
+    level=getattr(logging, LOG_LEVEL.upper()),

399-401: Use logger.exception for stack trace and catch specific exceptions.

Per static analysis (TRY400, BLE001), use logging.exception to include the stack trace and avoid catching bare Exception.

Suggested fix
-        except Exception as e:
-            logger.error(f"Error during API call: {e}")
+        except genai.APIError as e:
+            logger.exception(f"Error during API call: {e}")
             return f"Error during API call: {e}"

Note: Check the actual exception types from the google-genai SDK to catch appropriately.


456-458: Use specific exception types and logger.exception.

Per static analysis hints, avoid catching bare Exception and use logger.exception to include stack traces.

Suggested fix
-        except Exception as e:
-            logger.error(f"Critical error writing PDF: {e}")
+        except (OSError, IOError) as e:
+            logger.exception(f"Critical error writing PDF: {e}")
             return False

512-518: Use logger.exception for better debugging.

Per static analysis (TRY400), logger.exception automatically includes the stack trace. The ValueError handler at lines 513-514 could benefit from this as well.

Suggested fix
     except ValueError as e:
-        logger.error(f"Configuration error: {e}")
-        logger.error("Please check your .env file and ensure GEMINI_API_KEY is set")
+        logger.exception(f"Configuration error: {e}")
+        logger.info("Please check your .env file and ensure GEMINI_API_KEY is set")
         exit(1)
     except Exception as e:
         logger.error(f"Unexpected error: {e}", exc_info=True)
📜 Review details

Configuration used: defaults

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 3b60c55 and a9ff849.

📒 Files selected for processing (7)
  • clinical-report-generator/.env.example
  • clinical-report-generator/.gitignore
  • clinical-report-generator/README.md
  • clinical-report-generator/output/.gitkeep
  • clinical-report-generator/requirements.txt
  • clinical-report-generator/src/clinical_report_generator.py
  • daic_analysis_report.txt
🧰 Additional context used
🪛 markdownlint-cli2 (0.18.1)
clinical-report-generator/README.md

7-7: Fenced code blocks should have a language specified

(MD040, fenced-code-language)


136-136: Fenced code blocks should have a language specified

(MD040, fenced-code-language)


225-225: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)

🪛 Ruff (0.14.10)
clinical-report-generator/src/clinical_report_generator.py

55-55: Avoid specifying long messages outside the exception class

(TRY003)


108-108: Consider moving this statement to an else block

(TRY300)


109-109: Do not catch blind exception: Exception

(BLE001)


110-110: Use logging.exception instead of logging.error

Replace with exception

(TRY400)


118-118: Do not catch blind exception: Exception

(BLE001)


119-119: Use logging.exception instead of logging.error

Replace with exception

(TRY400)


137-137: Local variable prompt1 is assigned to but never used

Remove assignment to unused variable prompt1

(F841)


214-214: String contains ambiguous × (MULTIPLICATION SIGN). Did you mean x (LATIN SMALL LETTER X)?

(RUF001)


297-297: String contains ambiguous × (MULTIPLICATION SIGN). Did you mean x (LATIN SMALL LETTER X)?

(RUF001)


331-331: String contains ambiguous × (MULTIPLICATION SIGN). Did you mean x (LATIN SMALL LETTER X)?

(RUF001)


354-354: String contains ambiguous × (MULTIPLICATION SIGN). Did you mean x (LATIN SMALL LETTER X)?

(RUF001)


355-355: String contains ambiguous × (MULTIPLICATION SIGN). Did you mean x (LATIN SMALL LETTER X)?

(RUF001)


370-370: String contains ambiguous × (MULTIPLICATION SIGN). Did you mean x (LATIN SMALL LETTER X)?

(RUF001)


397-397: Consider moving this statement to an else block

(TRY300)


399-399: Do not catch blind exception: Exception

(BLE001)


400-400: Use logging.exception instead of logging.error

Replace with exception

(TRY400)


456-456: Do not catch blind exception: Exception

(BLE001)


457-457: Use logging.exception instead of logging.error

Replace with exception

(TRY400)


513-513: Use logging.exception instead of logging.error

Replace with exception

(TRY400)


514-514: Use logging.exception instead of logging.error

Replace with exception

(TRY400)

🔇 Additional comments (5)
daic_analysis_report.txt (1)

1-13: Sample data file looks appropriate for testing.

The format aligns with the expected input data structure documented in the README and matches the parsing expectations in the generator code.

clinical-report-generator/output/.gitkeep (1)

1-1: LGTM!

Standard practice to preserve the output directory structure in version control.

clinical-report-generator/.gitignore (1)

1-54: LGTM!

Comprehensive .gitignore with appropriate rules for Python projects. Good security practice ignoring .env, API keys, and secrets while preserving directory structure via .gitkeep exceptions.

clinical-report-generator/src/clinical_report_generator.py (1)

45-57: Good API key validation.

The check for both missing key and placeholder value ("your_api_key_here") is a practical safeguard against misconfiguration.

clinical-report-generator/requirements.txt (1)

1-4: The package name google-genai is correct. The package exists on PyPI (version 1.56.0) and matches the import statement import google.genai as genai used in the codebase. No changes needed.

Likely an incorrect or invalid review comment.

Comment on lines +9 to +13
MODEL_NAME=gemini-2.5-flash

# File Paths
INPUT_FILE_PATH=data/daic_analysis_report.txt
OUTPUT_PDF_PATH=output/Clinical_Analysis_Report.pdf
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

⚠️ Potential issue | 🟡 Minor

Inconsistency between .env.example and code defaults.

  1. Model name mismatch: The example uses gemini-2.5-flash, but the code default in clinical_report_generator.py (line 48) is gemini-2.0-flash-exp.

  2. Input file path: The example references data/daic_analysis_report.txt, but the sample file daic_analysis_report.txt is placed at the repository root, not in a data/ subdirectory.

Consider aligning these values to avoid user confusion.

Suggested fixes
 # Model Configuration
-MODEL_NAME=gemini-2.5-flash
+MODEL_NAME=gemini-2.0-flash-exp

 # File Paths
-INPUT_FILE_PATH=data/daic_analysis_report.txt
+INPUT_FILE_PATH=../daic_analysis_report.txt

Or move daic_analysis_report.txt to clinical-report-generator/data/daic_analysis_report.txt.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
MODEL_NAME=gemini-2.5-flash
# File Paths
INPUT_FILE_PATH=data/daic_analysis_report.txt
OUTPUT_PDF_PATH=output/Clinical_Analysis_Report.pdf
MODEL_NAME=gemini-2.0-flash-exp
# File Paths
INPUT_FILE_PATH=../daic_analysis_report.txt
OUTPUT_PDF_PATH=output/Clinical_Analysis_Report.pdf
🤖 Prompt for AI Agents
In clinical-report-generator/.env.example around lines 9 to 13, align the
example values with the code defaults: change MODEL_NAME to match the default
used in clinical_report_generator.py (gemini-2.0-flash-exp) and correct
INPUT_FILE_PATH to point to the actual sample file location
(../daic_analysis_report.txt or move the sample into
clinical-report-generator/data/ and keep data/daic_analysis_report.txt); update
OUTPUT_PDF_PATH only if the code expects a different path.

Comment on lines +76 to +79
MODEL_NAME=gemini-2.5-flash
INPUT_FILE_PATH=data/daic_analysis_report.txt
OUTPUT_PDF_PATH=output/Clinical_Analysis_Report.pdf
LOG_LEVEL=INFO
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

⚠️ Potential issue | 🟡 Minor

Model name inconsistency with code default.

The documented MODEL_NAME=gemini-2.5-flash differs from the code's default value gemini-2.0-flash-exp in clinical_report_generator.py line 48. Align these to reduce confusion.

🤖 Prompt for AI Agents
In clinical-report-generator/README.md around lines 76 to 79, the documented
MODEL_NAME=gemini-2.5-flash conflicts with the code default gemini-2.0-flash-exp
in clinical_report_generator.py line 48; update one to match the other
(preferably make the README model name identical to the code default or change
the code default to the documented value), and ensure any related documentation
or environment variable examples and tests are updated accordingly so the repo
uses a single canonical MODEL_NAME.

Comment on lines +109 to +120
except Exception as e:
logger.error(f"Error creating sample file: {e}")
return f"Error creating sample file: {e}"

try:
with open(self.input_file_path, "r", encoding="utf-8") as f:
content = f.read()
logger.info(f"Successfully read {len(content)} characters from input file")
return content
except Exception as e:
logger.error(f"Error reading file: {e}")
return f"Error reading file: {e}"
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

⚠️ Potential issue | 🟠 Major

Error handling pattern is fragile.

Returning error messages as strings and checking "Error" in input_data (line 474) is unreliable—legitimate input data containing the word "Error" would trigger false failures. Also, catching bare Exception hides specific error types.

Suggested refactor using exceptions
-        except Exception as e:
-            logger.error(f"Error creating sample file: {e}")
-            return f"Error creating sample file: {e}"
+        except OSError as e:
+            logger.exception(f"Error creating sample file: {e}")
+            raise
 
     try:
         with open(self.input_file_path, "r", encoding="utf-8") as f:
             content = f.read()
             logger.info(f"Successfully read {len(content)} characters from input file")
             return content
-    except Exception as e:
-        logger.error(f"Error reading file: {e}")
-        return f"Error reading file: {e}"
+    except OSError as e:
+        logger.exception(f"Error reading file: {e}")
+        raise

Then update run() to catch these exceptions explicitly rather than string matching.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
except Exception as e:
logger.error(f"Error creating sample file: {e}")
return f"Error creating sample file: {e}"
try:
with open(self.input_file_path, "r", encoding="utf-8") as f:
content = f.read()
logger.info(f"Successfully read {len(content)} characters from input file")
return content
except Exception as e:
logger.error(f"Error reading file: {e}")
return f"Error reading file: {e}"
except OSError as e:
logger.exception(f"Error creating sample file: {e}")
raise
try:
with open(self.input_file_path, "r", encoding="utf-8") as f:
content = f.read()
logger.info(f"Successfully read {len(content)} characters from input file")
return content
except OSError as e:
logger.exception(f"Error reading file: {e}")
raise
🧰 Tools
🪛 Ruff (0.14.10)

109-109: Do not catch blind exception: Exception

(BLE001)


110-110: Use logging.exception instead of logging.error

Replace with exception

(TRY400)


118-118: Do not catch blind exception: Exception

(BLE001)


119-119: Use logging.exception instead of logging.error

Replace with exception

(TRY400)

🤖 Prompt for AI Agents
In clinical-report-generator/src/clinical_report_generator.py around lines 109
to 120, the current pattern returns error messages as strings and catches bare
Exception which is fragile and causes downstream code to rely on string matching
("Error" in input_data). Replace the string-return error handling with specific
exceptions: raise a FileNotFoundError when the input file is missing, raise a
PermissionError for permission issues, and raise an IOError/ValueError for read
failures as appropriate; avoid catching bare Exception—catch and re-raise
specific exceptions if you need to add context. Then update run() to call this
method inside a try/except that catches those specific exceptions
(FileNotFoundError, PermissionError, IOError/ValueError) and handles them
appropriately (logging and returning or propagating an error code), removing any
string-based "Error" checks.

Comment on lines +137 to +187
prompt1 = f"""### SYSTEM ROLE
You are an Expert Clinical Data Scientist and Behavioral Analyst specializing in the Distress Analysis Interview Corpus (DAIC). Your task is to interpret raw automated analysis logs and synthesize them into a professional, human-readable clinical insight report.

### CONTEXT & TASK
I will provide you with a raw text file titled "DAIC Analysis Report". This file contains:
1. **Global State-Determining Indicators**: Aggregated words and sentences associated with specific states.
2. **Session Reports**: Data for individual sessions including frame counts, hidden norm means, and anomalies.

### INSTRUCTIONS (Step-by-Step)
Please follow this Chain-of-Thought process:

1. **Executive Summary**: Summarize the data's purpose. Explicitly mention how many distinct sessions are analyzed.
2. **Global Indicator Analysis**:
* Analyze the "Global State-Determining Indicators".
* **CRITICAL SANITY CHECK**: Compare word counts for "Tremor" vs. "Speech Disfluency". If identical, flag as "System Artifact" or "High Feature Overlap".
3. **Session-by-Session Deep Dive**:
* Process EVERY session found in the input.
* **Isolation Rule**: Treat each session as a data silo. Never mix metrics between sessions.
* **Psycholinguistic Analysis**: Categorize words (e.g., "Narrative Fillers" like 'um/uh' vs. "Cognitive Hedges" like 'think/know').
4. **Comparative Insights**:
* Compare "Hidden Norm Means" and discuss magnitude of difference.
* Contrast vocabulary patterns.

### OUTPUT FORMAT (Markdown)
# Clinical Behavioral Analysis Report

## 1. Executive Summary
[Summary including count of sessions analyzed]

## 2. Global Behavioral Markers
* **Tremor Indicators**: [Analysis with specific word counts]
* **Disfluency Indicators**: [Analysis - include note on overlap if found]

## 3. Session Analysis
### Session [ID]
* **Metrics**: Frames: [X] | Hidden Norm Mean: [Y]
* **Psycholinguistic Profile**: [Analysis of specific words]

[Repeat for ALL sessions]

## 4. Comparative Insights & Critical Conclusion
* **Intensity Check:** Compare "Hidden Norm Means"
* **Vocabulary Contrast:** Contrast patterns
* **Medical Consequence:** Flag any system artifacts

---
### INPUT DATA
{input_data}
"""

prompt=prompt = f"""### SYSTEM ROLE
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

⚠️ Potential issue | 🟡 Minor

Remove unused prompt1 variable.

prompt1 (lines 137-185) is defined but never used. This appears to be a previous iteration of the prompt. Per static analysis (F841), remove this dead code.

Suggested fix

Remove lines 137-185 entirely.

🧰 Tools
🪛 Ruff (0.14.10)

137-137: Local variable prompt1 is assigned to but never used

Remove assignment to unused variable prompt1

(F841)

🤖 Prompt for AI Agents
In clinical-report-generator/src/clinical_report_generator.py around lines 137
to 187, there is an unused prompt1 multi-line string defined (lines ~137–185)
that causes a dead-code warning (F841); remove the entire prompt1 declaration
block, leaving the active prompt assignment (prompt = ...) intact, and run a
quick grep to confirm no other references to prompt1 remain before committing.

{input_data}
"""

prompt=prompt = f"""### SYSTEM ROLE
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

⚠️ Potential issue | 🟡 Minor

Fix duplicate assignment typo.

The line contains prompt=prompt = f"""... which is a typo. This works but is confusing.

Suggested fix
-            prompt=prompt = f"""### SYSTEM ROLE
+            prompt = f"""### SYSTEM ROLE
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
prompt=prompt = f"""### SYSTEM ROLE
prompt = f"""### SYSTEM ROLE
🤖 Prompt for AI Agents
In clinical-report-generator/src/clinical_report_generator.py around line 187,
there is a duplicate assignment typo `prompt=prompt = f"""...`; replace it with
a single assignment like `prompt = f"""...` (remove the extra `prompt=`) so only
one variable is assigned; ensure there are no other stray duplicate assignments
on the surrounding lines.

Comment on lines +474 to +483
if "Error" in input_data:
logger.error(f"Failed to read input data: {input_data}")
return False

# Step 2: Generate report
report_markdown = self.generate_clinical_analysis_report(input_data)

if not report_markdown or "Error" in report_markdown:
logger.error(f"Failed to generate report: {report_markdown}")
return False
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

⚠️ Potential issue | 🟠 Major

Fragile error detection via string matching.

Checking "Error" in input_data and "Error" in report_markdown is fragile. If input data or API response legitimately contains "Error", this triggers false negatives. This is a symptom of the error handling pattern flagged earlier.

Consider refactoring to use exceptions for error signaling instead of magic strings.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants