update import to work with CPC and SMB

utils/__init__.py

@@ -1,4 +1,4 @@
 from .ollama_utils import connect_qumo_ollama
 from .data_utils import create_sentiment_matrix, extract_theme
-from .transcript_utils import load_srt
+from .transcript_utils import load_srt, csv_to_markdown, cpc_smb_to_markdown
 from .sentiment_analysis import dummy_sentiment_analysis, ollama_sentiment_analysis

utils/transcript_utils.py

@@ -1,6 +1,7 @@
 
 from pathlib import Path
 import re
+import pandas as pd
 
 def load_srt(path: str | Path) -> str:
     """Load and parse an SRT file, returning clean transcript with speaker labels.
@@ -51,4 +52,91 @@ def load_srt(path: str | Path) -> str:
     
     # Format as "SPEAKER_XX: text"
     transcript_lines = [f"{speaker}: {utterance}" for speaker, utterance in merged]
-    return '\n\n'.join(transcript_lines)
+    return '\n\n'.join(transcript_lines)
+
+
+
+def csv_to_markdown(csv_path:Path):
+    """Convert transcript CSV to markdown, merging consecutive same-speaker turns."""
+    df = pd.read_csv(str(csv_path))
+    
+    lines = ["# Interview Transcript"]
+
+    # Track previous speaker to detect when speaker changes
+    prev_speaker = None
+    # Accumulate text from consecutive turns by same speaker
+    merged_text = []
+
+    for _, row in df.iterrows():
+        speaker = row["Speaker"]
+        text = str(row["Transcript"]).strip()
+
+        if speaker == prev_speaker:
+            # Same speaker continues — append text to current block
+            merged_text.append(text)
+        else:
+            # New speaker detected — flush previous speaker's block
+            if prev_speaker is not None:
+                # Format: **Speaker**: text-part-1\n\ntext-part-2
+                # Use \n\n to ensure distinct paragraphs for readability
+                lines.append(f"**{prev_speaker}**: {'\n\n'.join(merged_text)}")
+
+            # Start new block for current speaker
+            prev_speaker = speaker
+            merged_text = [text]
+
+    # Flush final speaker's block
+    if prev_speaker is not None:
+        lines.append(f"**{prev_speaker}**: {'\n\n'.join(merged_text)}")
+
+    # Join all blocks with double newlines for clear separation
+    return "\n\n".join(lines)
+
+
+def cpc_smb_to_markdown(cpc_path: Path) -> str:
+    """Convert CPC text transcript to markdown, merging consecutive same-speaker turns."""
+    content = Path(cpc_path).read_text(encoding='utf-8')
+    
+    lines = ["# Interview Transcript"]
+    prev_speaker = None
+    merged_text = []
+    
+    # Regex to find speaker labels: Word followed by colon and space
+    speaker_pattern = re.compile(r'(?:^|\s)([A-Za-z0-9]+):\s')
+
+    for line in content.splitlines():
+        line = line.strip().replace('\n', ' ')
+        # Remove surrounding quotes
+        if line.startswith('"') and line.endswith('"'):
+            line = line[1:-1].strip()
+            
+        if not line:
+            continue
+            
+        parts = speaker_pattern.split(line)
+        
+        # If no speaker found, skip line (assumed garbage like "Like", headers)
+        if len(parts) < 2:
+            continue
+            
+        # parts[0] is text before the first speaker on this line
+        if parts[0].strip() and prev_speaker:
+            merged_text.append(parts[0].strip())
+            
+        # Iterate over speaker-text pairs
+        for i in range(1, len(parts), 2):
+            speaker = parts[i]
+            text = parts[i+1].strip()
+            
+            if speaker == prev_speaker:
+                merged_text.append(text)
+            else:
+                if prev_speaker is not None:
+                    lines.append(f"**{prev_speaker}**: {'\n\n'.join(merged_text)}")
+                prev_speaker = speaker
+                merged_text = [text]
+    
+    if prev_speaker is not None:
+        lines.append(f"**{prev_speaker}**: {'\n\n'.join(merged_text)}")
+        
+    return "\n\n".join(lines)