From 372c07bcb8e46736a884a515c02982aa22da1a50 Mon Sep 17 00:00:00 2001 From: Kendall Werts Date: Sun, 6 Apr 2025 21:19:12 -0500 Subject: [PATCH 01/10] some tests with gpt 4o and 40 mini --- .../minutes_diarization/.gitignore | 1 + .../city_council_Feb_26_2025_5pm.pdf | Bin 0 -> 159842 bytes .../minutes_diarization/download_minutes.py | 66 + .../process_min_diarization.py | 133 + ...council_meeting___2025_02_26.diarized.json | 43008 ++++++++++++++++ .../experiments/minutes_diarization/test.md | 141 + pyproject.toml | 17 +- 7 files changed, 43360 insertions(+), 6 deletions(-) create mode 100644 notebooks/experiments/minutes_diarization/.gitignore create mode 100644 notebooks/experiments/minutes_diarization/city_council_Feb_26_2025_5pm.pdf create mode 100644 notebooks/experiments/minutes_diarization/download_minutes.py create mode 100644 notebooks/experiments/minutes_diarization/process_min_diarization.py create mode 100644 notebooks/experiments/minutes_diarization/regular_council_meeting___2025_02_26.diarized.json create mode 100644 notebooks/experiments/minutes_diarization/test.md diff --git a/notebooks/experiments/minutes_diarization/.gitignore b/notebooks/experiments/minutes_diarization/.gitignore new file mode 100644 index 0000000..74c3f9f --- /dev/null +++ b/notebooks/experiments/minutes_diarization/.gitignore @@ -0,0 +1 @@ +test_data/ diff --git a/notebooks/experiments/minutes_diarization/city_council_Feb_26_2025_5pm.pdf b/notebooks/experiments/minutes_diarization/city_council_Feb_26_2025_5pm.pdf new file mode 100644 index 0000000000000000000000000000000000000000..696ae0b899a9ff6f923bc1346e59ed8fa5a1bb02 GIT binary patch literal 159842 zcmeFZ2UL_@vNj4zMsm(MD$tpnbCita*d)nGP*5@=K_n?j#6S*`L4pVZl5-Le0Tl!! zM*;cY?*5$lX6~FhXPtlMoV(V&YiYgR)jQO#UAyXeH>-+AS4l+(EDR&!8Qbq)Bm%R8 z*gfrBiKL{6M09PPkiP5?fTNH3qGcQ8>F+0U-2E`e5K_sGt^!4*)hhmx-26-Vx z6m9)%-8`Kz9ke|ikRnFDNF7fPB$0@*3-T7yN7o1Gi1a~v*aKt3&>dxDh>#u*s98~S 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z#Pb&f27rn3Mwt2+>kkBm5cN(F7*50=1OWQyw3GknyD$hGc7YcFkWi8r@=L&o>fj&j zA_oKvan=H~IQ#T+0G Pg#n?|+}w&9O4R=YjwslM literal 0 HcmV?d00001 diff --git a/notebooks/experiments/minutes_diarization/download_minutes.py b/notebooks/experiments/minutes_diarization/download_minutes.py new file mode 100644 index 0000000..a61f599 --- /dev/null +++ b/notebooks/experiments/minutes_diarization/download_minutes.py @@ -0,0 +1,66 @@ +from pathlib import Path +import re +import requests +from selectolax.parser import HTMLParser + + +def download_minutes_pdfs(): + folder = "test_data" + base_url = "https://www.cityoftulsa.org/apps/CouncilDocuments" + Path("./notebooks/experiments/test_data").mkdir(parents=True, exist_ok=True) + + for item_num in range(47711, 48000): + url = f"{base_url}?item={item_num}" + print(f"Checking page: {url}") + + response = requests.get(url) + if response.status_code != 200: + print(f"Failed to fetch page {item_num}") + break + + # Parse the HTML using selectolax + tree = HTMLParser(response.content) + + # Find all rows that contain filename divs + rows = tree.css("div.row") + + for row in rows: + # Find the filename div in this row + filename_div = row.css_first("div.fileName") + if not filename_div: + continue + + filename = filename_div.text().strip() + if "minutes" not in filename.lower(): + continue + + # Check if file already exists + full_filepath = Path(folder) / filename + if full_filepath.exists(): + print(f"File already exists, skipping: {filename}") + continue + + # Find the hidden div with the document ID + doc_id_div = row.css_first("div.pdfString.hidden") + if not doc_id_div: + print(f"No document ID found for {filename}") + continue + + doc_id = doc_id_div.text().strip() + pdf_url = f"https://www.cityoftulsa.org/apps/COTDisplayDocument/?DocumentType=CouncilDocument&DocumentIdentifiers={doc_id}" + + print(f"Downloading: {filename}") + pdf_response = requests.get(pdf_url, stream=True) + + if pdf_response.status_code == 200: + with open(full_filepath, "wb") as f: + for chunk in pdf_response.iter_content(chunk_size=8192): + f.write(chunk) + print(f"Successfully downloaded {filename}") + else: + print(f"Failed to download {filename}") + + item_num += 1 + + +download_minutes_pdfs() diff --git a/notebooks/experiments/minutes_diarization/process_min_diarization.py b/notebooks/experiments/minutes_diarization/process_min_diarization.py new file mode 100644 index 0000000..0ed005c --- /dev/null +++ b/notebooks/experiments/minutes_diarization/process_min_diarization.py @@ -0,0 +1,133 @@ +from pathlib import Path +from langchain_community.document_loaders import PyPDFLoader +from openai import OpenAI +import json + +import tiktoken + +# Initialize OpenAI client +client = OpenAI() + + +def extract_text_from_pdf(pdf_path): + """Extract text from PDF using PyPDFLoader.""" + loader = PyPDFLoader(str(pdf_path)) + pages = loader.load() + return "\n".join(page.page_content for page in pages) + + +def get_diarization(): + """Get the diarization data from the JSON file.""" + diarization_path = Path( + "./notebooks/experiments/minutes_diarization/regular_council_meeting___2025_02_26.diarized.json" + ) + if not diarization_path.exists(): + raise FileNotFoundError("Diarization JSON file not found") + + with open(diarization_path, "r") as f: + return json.load(f) + + +def simplify_diarization(transcript_data): + def format_timestamp(seconds: float) -> str: + """Convert seconds to HH:MM:SS format""" + hours = int(seconds // 3600) + minutes = int((seconds % 3600) // 60) + secs = int(seconds % 60) + return f"{hours:02d}:{minutes:02d}:{secs:02d}" + + # Create formatted HTML output + speaker_lines = ["Meeting Script - Combined by Speaker"] + + current_speaker = None + current_text = [] + current_start = None + + for segment in transcript_data["segments"]: + if current_speaker != segment["speaker"]: + # Output previous speaker's text + if current_speaker: + timestamp = format_timestamp(current_start) + wrapped_text = " ".join(current_text) + speaker_lines.append( + f"[{timestamp}] {current_speaker}:\n{wrapped_text}\n" + ) + + # Start new speaker + current_speaker = segment["speaker"] + current_text = [segment["text"].strip()] + current_start = segment["start"] + else: + # Continue current speaker + current_text.append(segment["text"].strip()) + + # Output final speaker + if current_speaker: + timestamp = format_timestamp(current_start) + wrapped_text = " ".join(current_text) + speaker_lines.append(f"[{timestamp}] {current_speaker}:\n{wrapped_text}") + return "\n".join(speaker_lines) + + +def match_speakers_with_chatgpt(minutes_text, diarization): + """Use ChatGPT to match speakers from diarization with names from minutes.""" + # Format diarization data for the prompt + + prompt = f"""I have a city council meeting minutes document and a diarization of the audio recording. +The diarization has identified different speakers but doesn't know their names. +Please analyze the minutes text and match the speakers from the diarization with the names mentioned in the minutes. + +Minutes text: +{minutes_text} + +Diarization segments: +{diarization} + +For each speaker in the diarization, please identify who they are based on the minutes text. +If you can't determine who they are, mark them as "Unknown". +Format your response as a JSON object where the keys are the speaker numbers (e.g., "SPEAKER_00") +and the values are the identified names or "Unknown". +""" + + response = client.chat.completions.create( + model="gpt-4o", + messages=[ + { + "role": "system", + "content": "You are a helpful assistant that analyzes meeting minutes and audio diarization to identify speakers.", + }, + {"role": "user", "content": prompt}, + ], + response_format={"type": "json_object"}, + ) + + return json.loads(response.choices[0].message.content) + + +def main(): + minutes_path = Path( + "./notebooks/experiments/minutes_diarization/test_data/25-173-2_25-173-2 2025-02-26 5PM Minutes.pdf" + ) + # Extract text from PDF + minutes_text = extract_text_from_pdf(minutes_path) + + # Get diarization data + diarization = get_diarization() + + simple_diarization = simplify_diarization(diarization) + print(simple_diarization) + + encoding = tiktoken.encoding_for_model("gpt-4o-mini") + + print( + f"Diarization segments length: {len(encoding.encode(str(simple_diarization)))}" + ) + print(f"Minutes text length: {len(encoding.encode(minutes_text))}") + + # Use ChatGPT to match speakers + speaker_matches = match_speakers_with_chatgpt(minutes_text, simple_diarization) + print(speaker_matches) + + +if __name__ == "__main__": + main() diff --git a/notebooks/experiments/minutes_diarization/regular_council_meeting___2025_02_26.diarized.json b/notebooks/experiments/minutes_diarization/regular_council_meeting___2025_02_26.diarized.json new file mode 100644 index 0000000..abca694 --- /dev/null +++ b/notebooks/experiments/minutes_diarization/regular_council_meeting___2025_02_26.diarized.json @@ -0,0 +1,43008 @@ +{ + "language": "en", + "segments": [ + { + "id": 0, + "start": 43.805, + "end": 46.709, + "text": " And welcome to the five o'clock Tulsa City Council meeting.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "And", + "start": 43.805, + "end": 44.125, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "welcome", + "start": 44.166, + "end": 44.426, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "to", + "start": 44.446, + "end": 44.506, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "the", + "start": 44.546, + "end": 44.606, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "five", + "start": 44.646, + "end": 44.807, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "o'clock", + "start": 44.847, + "end": 45.207, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "Tulsa", + "start": 45.407, + "end": 45.788, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "City", + "start": 45.848, + "end": 46.088, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "Council", + "start": 46.129, + "end": 46.449, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "meeting.", + "start": 46.489, + "end": 46.709, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 46.749, + "end": 52.899, + "text": "You can view this meeting on our Facebook page, Cox channel 24 or at T gov online.org.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "You", + "start": 46.749, + "end": 46.85, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "can", + "start": 46.87, + "end": 46.99, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "view", + "start": 47.03, + "end": 47.17, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "this", + "start": 47.21, + "end": 47.33, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "meeting", + "start": 47.41, + "end": 47.671, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "on", + "start": 47.811, + "end": 47.851, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "our", + "start": 47.911, + "end": 47.971, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "Facebook", + "start": 48.011, + "end": 48.392, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "page,", + "start": 48.432, + "end": 48.753, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "Cox", + "start": 49.333, + "end": 49.614, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "channel", + "start": 49.674, + "end": 49.954, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "24", + "start": 49.974, + "end": 50.235, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "or", + "start": 50.375, + "end": 50.515, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "at", + "start": 50.756, + "end": 51.136, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "T", + "start": 51.236, + "end": 51.417, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "gov", + "start": 51.457, + "end": 51.737, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "online.org.", + "start": 51.917, + "end": 52.899, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 53.42, + "end": 60.27, + "text": "Assisting the council tonight are Jack Blair, city attorney Laurie Doring, secretary to the council, and Catherine Ong, council staff.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "Assisting", + "start": 53.42, + "end": 53.78, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "the", + "start": 53.82, + "end": 53.9, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "council", + "start": 53.94, + "end": 54.281, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "tonight", + "start": 54.301, + "end": 54.581, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "are", + "start": 54.621, + "end": 54.682, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "Jack", + "start": 54.722, + "end": 54.942, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "Blair,", + "start": 54.982, + "end": 55.303, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "city", + "start": 55.403, + "end": 55.623, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "attorney", + "start": 55.683, + "end": 56.004, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "Laurie", + "start": 56.084, + "end": 56.344, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "Doring,", + "start": 56.384, + "end": 56.725, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "secretary", + "start": 56.925, + "end": 57.386, + "speaker": "SPEAKER_19", + 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Okay.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "You", + "start": 1790.627, + "end": 1790.727, + "speaker": "SPEAKER_07", + "probability": 1.0 + }, + { + "word": "can", + "start": 1790.787, + "end": 1791.107, + "speaker": "SPEAKER_07", + "probability": 1.0 + }, + { + "word": "probably", + "start": 1791.348, + "end": 1791.768, + "speaker": "SPEAKER_07", + "probability": 1.0 + }, + { + "word": "just", + "start": 1791.849, + "end": 1791.989, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "do", + "start": 1792.029, + "end": 1792.229, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "D", + "start": 1792.309, + "end": 1792.61, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "on", + "start": 1792.79, + "end": 1792.85, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "its", + "start": 1792.93, + "end": 1793.05, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "own", + "start": 1793.211, + 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[ + { + "word": "Councilor", + "start": 2280.03, + "end": 2280.35, + "speaker": "SPEAKER_08", + "probability": 1.0 + }, + { + "word": "Hall-Harper?", + "start": 2280.37, + "end": 2280.951, + "speaker": "SPEAKER_08", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2281.051, + "end": 2281.272, + "text": "Yes.", + "speaker": "SPEAKER_08", + "words": [ + { + "word": "Yes.", + "start": 2281.051, + "end": 2281.272, + "speaker": "SPEAKER_08", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2281.452, + "end": 2282.654, + "text": "Councilor Archie?", + "speaker": "SPEAKER_08", + "words": [ + { + "word": "Councilor", + "start": 2281.452, + "end": 2281.833, + "speaker": "SPEAKER_08", + "probability": 1.0 + }, + { + "word": "Archie?", + "start": 2281.913, + "end": 2282.654, + "speaker": "SPEAKER_08", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2283.776, + "end": 2283.996, + "text": "Yes.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "Yes.", + "start": 2283.776, + "end": 2283.996, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2285.018, + "end": 2286.461, + "text": "Item 8B is approved.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "Item", + "start": 2285.018, + "end": 2285.198, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "8B", + "start": 2285.218, + "end": 2285.759, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "is", + "start": 2285.92, + "end": 2286.0, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "approved.", + "start": 2286.04, + "end": 2286.461, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2286.701, + "end": 2287.462, + "text": "Nine new business.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "Nine", + "start": 2286.701, + "end": 2286.901, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "new", + "start": 2286.961, + "end": 2287.062, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "business.", + "start": 2287.102, + "end": 2287.462, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2287.502, + "end": 2288.304, + "text": "There are no items.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "There", + "start": 2287.502, + "end": 2287.623, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "are", + "start": 2287.663, + "end": 2287.743, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "no", + "start": 2287.783, + "end": 2287.863, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "items.", + "start": 2288.023, + "end": 2288.304, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2288.404, + "end": 2288.684, + "text": "Ten.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "Ten.", + "start": 2288.404, + "end": 2288.684, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2289.065, + "end": 2289.866, + "text": "Hearing of appeals.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "Hearing", + "start": 2289.065, + "end": 2289.305, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "of", + "start": 2289.326, + "end": 2289.366, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "appeals.", + "start": 2289.406, + "end": 2289.866, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2289.907, + "end": 2290.467, + "text": "No items.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "No", + "start": 2289.907, + "end": 2290.047, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "items.", + "start": 2290.167, + "end": 2290.467, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2290.588, + "end": 2290.948, + "text": "Eleven.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "Eleven.", + "start": 2290.588, + "end": 2290.948, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2291.309, + "end": 2292.331, + "text": "Hearing of public comments.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "Hearing", + "start": 2291.309, + "end": 2291.549, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "of", + "start": 2291.589, + "end": 2291.629, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "public", + "start": 2291.69, + "end": 2291.91, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "comments.", + "start": 2291.97, + "end": 2292.331, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2292.391, + "end": 2292.852, + "text": "No items.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "No", + "start": 2292.391, + "end": 2292.511, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "items.", + "start": 2292.611, + "end": 2292.852, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2292.932, + "end": 2293.272, + "text": "Twelve.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "Twelve.", + "start": 2292.932, + "end": 2293.272, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2293.312, + "end": 2293.793, + "text": "Adjournment.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "Adjournment.", + "start": 2293.312, + "end": 2293.793, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2294.254, + "end": 2294.815, + "text": "We are adjourned.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "We", + "start": 2294.254, + "end": 2294.354, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "are", + "start": 2294.394, + "end": 2294.474, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "adjourned.", + "start": 2294.494, + "end": 2294.815, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2294.835, + "end": 2295.456, + "text": "Thank you all.", + "speaker": "SPEAKER_19", + "words": [ + { + "word": "Thank", + "start": 2294.835, + "end": 2295.176, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "you", + "start": 2295.196, + "end": 2295.296, + "speaker": "SPEAKER_19", + "probability": 1.0 + }, + { + "word": "all.", + "start": 2295.356, + "end": 2295.456, + "speaker": "SPEAKER_19", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2300.684, + "end": 2301.069, + "text": " lies.", + "speaker": "SPEAKER_11", + "words": [ + { + "word": "lies.", + "start": 2300.684, + "end": 2301.069, + "speaker": "SPEAKER_11", + "probability": 1.0 + } + ] + }, + { + "id": 0, + "start": 2301.251, + "end": 2305.058, + "text": "If there's a stray", + "speaker": "SPEAKER_11", + "words": [ + { + "word": "If", + "start": 2301.251, + "end": 2301.332, + "speaker": "SPEAKER_11", + "probability": 1.0 + }, + { + "word": "there's", + "start": 2301.373, + "end": 2301.676, + "speaker": "SPEAKER_11", + "probability": 1.0 + }, + { + "word": "a", + "start": 2301.717, + "end": 2301.778, + "speaker": "SPEAKER_11", + "probability": 1.0 + }, + { + "word": "stray", + "start": 2301.899, + "end": 2305.058, + "speaker": "SPEAKER_11", + "probability": 1.0 + } + ] + } + ] +} diff --git a/notebooks/experiments/minutes_diarization/test.md b/notebooks/experiments/minutes_diarization/test.md new file mode 100644 index 0000000..64c3747 --- /dev/null +++ b/notebooks/experiments/minutes_diarization/test.md @@ -0,0 +1,141 @@ +# Experiment Results + +## With full diarization and minutes + +### Chunked (3) 4o-mini with full diarization and minutes + +Repetition and overlap with "unknown" has been deleted. Model confuses Lakin, Wright, and Huffines during procssing of the 3 chunks. + + { + "SPEAKER_00": "Councilor Decter Wright", + "SPEAKER_01": "Daniel Regan with the Tulsa Airports Improvement Trust", + "SPEAKER_02": "Councilor Bush", + "SPEAKER_03": "Councilor Bellis", + "SPEAKER_04": "Unknown", + "SPEAKER_05": "Unknown", + "SPEAKER_06": "Archie", + "SPEAKER_07": "Bush", + "SPEAKER_08": "Bellis", + "SPEAKER_08": "Councilors (Hall-Harper, Archie, Decter Wright, Dutton, Lakin, Bellis, Bush, Gilbert, Bengel)", + "SPEAKER_09": "Unknown", + "SPEAKER_10": "Lakin", + "SPEAKER_10": "Councilor Decter Wright", + "SPEAKER_11": "John Huffines", + "SPEAKER_11": "Lori Doring", + "SPEAKER_13": "Mr. Evan Taylor", + "SPEAKER_13": "John Huffines", + "SPEAKER_14": "Mr. Stuart McDaniel", + "SPEAKER_15": "Erran Persley, City of Tulsa Economic Development Director", + "SPEAKER_16": "Jeff Sabin, Development Counsel with the Center for Economic Development Law", + "SPEAKER_17": "Jack Blair, City Attorney", + "SPEAKER_18": "Classify as speaker addressing the council or a public comment, but without a specific name", + "SPEAKER_19": "Chair Lakin", + "SPEAKER_19": "Decter Wright" + "SPEAKER_19": "Phil Lakin, Chair of the Council", + } + +## With simplified diarization and minutes + +### 4o-mini + + { // 4o mini with no minutes + "SPEAKER_00": "James Alexander, Jr.", + "SPEAKER_01": "Daniel Regan", + "SPEAKER_02": "Bernice Alexander", + "SPEAKER_03": "Unknown", + "SPEAKER_04": "Unknown", + "SPEAKER_05": "Unknown", + "SPEAKER_06": "Decter Wright", + "SPEAKER_07": "Councilor Bush", + "SPEAKER_08": "Councilor Bengel", + "SPEAKER_09": "Unknown", + "SPEAKER_10": "Councilor Dutton", + "SPEAKER_11": "Unknown", + "SPEAKER_12": "Unknown", + "SPEAKER_13": "Evan Taylor", + "SPEAKER_14": "Stuart McDaniel", + "SPEAKER_15": "Unknown", + "SPEAKER_16": "Jeff Sabin", + "SPEAKER_17": "Unknown", + "SPEAKER_18": "John Huffines", + "SPEAKER_19": "Phil Lakin, Jr." + } + +### 4o + +Looks slightly better than 4o-mini. + + { + SPEAKER_00: "James Alexander Jr.", + SPEAKER_01: "Daniel Regan", + SPEAKER_02: "Bernice Alexander", + SPEAKER_03: "Unknown", + SPEAKER_04: "Erran Persley", + SPEAKER_05: "Councilor Archie", + SPEAKER_06: "Unknown", + SPEAKER_07: "Councilor Bush", + SPEAKER_08: "Unknown", + SPEAKER_09: "Councilor Hall-Harper", + SPEAKER_10: "Councilor Decter Wright", + SPEAKER_11: "Unknown", + SPEAKER_13: "Evan Taylor", + SPEAKER_14: "Stuart McDaniel", + SPEAKER_15: "Unknown", + SPEAKER_16: "Jeff Sabin", + SPEAKER_17: "Jack Blair", + SPEAKER_18: "John Huffines", + SPEAKER_19: "Phil Lakin Jr.", + } + +## With simplified diarization and no minutes + +### 4o mini + + { + SPEAKER_00: "James Alexander Jr.", + SPEAKER_01: "Daniel", + SPEAKER_02: "Mrs. Alexander", + SPEAKER_03: "Unknown", + SPEAKER_04: "Aaron", + SPEAKER_05: "Unknown", + SPEAKER_06: "Unknown", + SPEAKER_07: "Unknown", + SPEAKER_08: "Catherine Ong", + SPEAKER_09: "Unknown", + SPEAKER_10: "Unknown", + SPEAKER_11: "Catherine Ong", + SPEAKER_12: "Unknown", + SPEAKER_13: "Evan Taylor", + SPEAKER_14: "Stuart McDaniel", + SPEAKER_15: "Unknown", + SPEAKER_16: "Jeff Saban", + SPEAKER_17: "Unknown", + SPEAKER_18: "John Huffins", + SPEAKER_19: "Phil Lakin", + } + +### 4o + + { + SPEAKER_00: "James Alexander Jr.", + SPEAKER_01: "Daniel (representative from airport project)", + SPEAKER_02: "Bernice Alexander", + SPEAKER_03: "Councilor Belis", + SPEAKER_04: "Aaron (city staff helping with Crutchfield TIF)", + SPEAKER_05: + "Councilor (likely from the same district as the town hall meeting mentioned, possibly Councilor Dr. Wright)", + SPEAKER_06: "Unknown", + SPEAKER_07: "Unknown (likely a councilor)", + SPEAKER_08: "Catherine Ong, Council Staff (acting as roll call announcer)", + SPEAKER_09: "Unknown (referencing Councilor Dr. Wright)", + SPEAKER_10: + "Councilor making motions (uncertain, but often a councilor such as Dr. Wright or Lakin, based on meetings)", + SPEAKER_11: "Catherine Ong, Council Staff", + SPEAKER_13: "Evan Taylor", + SPEAKER_14: "Stuart McDaniel", + SPEAKER_15: "Unknown (likely another councilor or questioning party)", + SPEAKER_16: "Jeff Saban, Development Counselor for the Airport", + SPEAKER_17: "Unknown (likely a city attorney or advisor)", + SPEAKER_18: "John Huffins", + SPEAKER_19: "Council Chairman Phil Lakin", + } diff --git a/pyproject.toml b/pyproject.toml index db7fa69..dd45eb3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -2,7 +2,10 @@ name = "tgov scraper" version = "0.1.0" description = "A set of scripts and notebooks for exploring Tulsa Government Access Television" -authors = ["jdungan ", "groovecoder "] +authors = [ + "jdungan ", + "groovecoder ", +] readme = "README.md" [tool.poetry.dependencies] @@ -24,10 +27,15 @@ jupyter = "^1.1.1" jupyter-nbextensions-configurator = "^0.6.4" python-dotenv = "^1.0.1" aiofiles = "^24.1.0" -faster-whisper = "^1.1.1" +faster-whisper = "^1.1.0" prefect = "^3.3.0" boto3 = "^1.37.24" dyntastic = "^0.18.0" +langchain-community = "^0.3.21" +openai = "^1.70.0" +pypdf = "^5.4.0" +tiktoken = "^0.9.0" +whisperx = "^3.3.1" [tool.poetry.group.dev.dependencies] @@ -47,7 +55,4 @@ minversion = "6.0" testpaths = ["tests"] python_files = "test_*.py" python_functions = "test_*" -filterwarnings = [ - "ignore::DeprecationWarning", - "ignore::UserWarning", -] +filterwarnings = ["ignore::DeprecationWarning", "ignore::UserWarning"] From 6e957f6ab208bd1cbc03837f8a0c6192f610b4e9 Mon Sep 17 00:00:00 2001 From: Kendall Werts Date: Mon, 7 Apr 2025 14:20:02 -0500 Subject: [PATCH 02/10] added gemini calls --- .../process_min_diarization.py | 40 ++++++++++++++++++- .../experiments/minutes_diarization/test.md | 25 ++++++++++++ pyproject.toml | 1 + 3 files changed, 65 insertions(+), 1 deletion(-) diff --git a/notebooks/experiments/minutes_diarization/process_min_diarization.py b/notebooks/experiments/minutes_diarization/process_min_diarization.py index 0ed005c..919162c 100644 --- a/notebooks/experiments/minutes_diarization/process_min_diarization.py +++ b/notebooks/experiments/minutes_diarization/process_min_diarization.py @@ -1,6 +1,9 @@ +import os from pathlib import Path from langchain_community.document_loaders import PyPDFLoader from openai import OpenAI +from google import genai +from google.genai import types import json import tiktoken @@ -69,6 +72,40 @@ def format_timestamp(seconds: float) -> str: return "\n".join(speaker_lines) +def match_speakers_with_gemini(minutes_text, diarization): + """Use Gemini to match speakers from diarization with names from minutes.""" + GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") + client = genai.Client(api_key=GOOGLE_API_KEY) + + instruction = f"""I have a city council meeting minutes document and a diarization of the audio recording. +The diarization has identified different speakers but doesn't know their names. +Please analyze the minutes text and match the speakers from the diarization with the names mentioned in the minutes. + +Minutes text: +{minutes_text} + +Diarization segments: +{diarization} + +For each speaker in the diarization, please identify who they are based on the minutes text. +If you can't determine who they are, mark them as "Unknown". +Format your response as a JSON object where the keys are the speaker numbers (e.g., "SPEAKER_00") +and the values are the identified names or "Unknown". +""" + # Start a chat with automatic function calling enabled. + chat = client.chats.create( + model="gemini-2.0-flash", + config=types.GenerateContentConfig( + system_instruction=instruction, + ), + ) + resp = chat.send_message("Show me all the market entities") + + result = resp.candidates[0].content.parts[0].text + print(f"result: {result}") + return result + + def match_speakers_with_chatgpt(minutes_text, diarization): """Use ChatGPT to match speakers from diarization with names from minutes.""" # Format diarization data for the prompt @@ -125,7 +162,8 @@ def main(): print(f"Minutes text length: {len(encoding.encode(minutes_text))}") # Use ChatGPT to match speakers - speaker_matches = match_speakers_with_chatgpt(minutes_text, simple_diarization) + # speaker_matches = match_speakers_with_chatgpt(minutes_text, simple_diarization) + speaker_matches = match_speakers_with_gemini(minutes_text, simple_diarization) print(speaker_matches) diff --git a/notebooks/experiments/minutes_diarization/test.md b/notebooks/experiments/minutes_diarization/test.md index 64c3747..dd3f065 100644 --- a/notebooks/experiments/minutes_diarization/test.md +++ b/notebooks/experiments/minutes_diarization/test.md @@ -87,6 +87,31 @@ Looks slightly better than 4o-mini. SPEAKER_19: "Phil Lakin Jr.", } +### Gemini + + { + "UNKNOWN": "Unknown", + "SPEAKER_00": "James Alexander, Jr.", + "SPEAKER_01": "Daniel Regan with the Tulsa Airports Improvement Trust", + "SPEAKER_02": "Bernice Alexander", + "SPEAKER_03": "Unknown", + "SPEAKER_04": "Erran Persley, City of Tulsa Economic Development Director", + "SPEAKER_05": "Councilor Archie", + "SPEAKER_06": "Councilor Gilbert" + "SPEAKER_07": "Councilor Bush", + "SPEAKER_08": "Lori Doring, Secretary to the Council", + "SPEAKER_09": "Unknown", + "SPEAKER_10": "Councilor Bellis", + "SPEAKER_11": "Kathryn Aung, Council Staff", + "SPEAKER_13": "Evan Taylor", + "SPEAKER_14": "Stuart McDaniel", + "SPEAKER_15": "Unknown", + "SPEAKER_16": "Jeff Sabin, Development Counsel with the Center for Economic Development Law", + "SPEAKER_17": "Jack Blair, City Attorney", + "SPEAKER_18": "John Huffines", + "SPEAKER_19": "Chair Lakin", + } + ## With simplified diarization and no minutes ### 4o mini diff --git a/pyproject.toml b/pyproject.toml index dd45eb3..26134ec 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ openai = "^1.70.0" pypdf = "^5.4.0" tiktoken = "^0.9.0" whisperx = "^3.3.1" +google-genai = "^1.9.0" [tool.poetry.group.dev.dependencies] From 2a1bf11482bf8b7d1a564cb46c4b1c7b36143dd7 Mon Sep 17 00:00:00 2001 From: Kendall Werts Date: Tue, 8 Apr 2025 10:20:52 -0500 Subject: [PATCH 03/10] fixed some comments --- notebooks/experiments/minutes_diarization/download_minutes.py | 4 ++-- .../minutes_diarization/process_min_diarization.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/notebooks/experiments/minutes_diarization/download_minutes.py b/notebooks/experiments/minutes_diarization/download_minutes.py index a61f599..e9e72df 100644 --- a/notebooks/experiments/minutes_diarization/download_minutes.py +++ b/notebooks/experiments/minutes_diarization/download_minutes.py @@ -21,11 +21,11 @@ def download_minutes_pdfs(): # Parse the HTML using selectolax tree = HTMLParser(response.content) - # Find all rows that contain filename divs + # Find all divs with class row rows = tree.css("div.row") for row in rows: - # Find the filename div in this row + # Find divs with class fileName filename_div = row.css_first("div.fileName") if not filename_div: continue diff --git a/notebooks/experiments/minutes_diarization/process_min_diarization.py b/notebooks/experiments/minutes_diarization/process_min_diarization.py index 919162c..275bf3c 100644 --- a/notebooks/experiments/minutes_diarization/process_min_diarization.py +++ b/notebooks/experiments/minutes_diarization/process_min_diarization.py @@ -39,7 +39,7 @@ def format_timestamp(seconds: float) -> str: secs = int(seconds % 60) return f"{hours:02d}:{minutes:02d}:{secs:02d}" - # Create formatted HTML output + # Copied from John's transcription creator to simplify the diarization. Can probably turn this into a function or use the VTT instead. speaker_lines = ["Meeting Script - Combined by Speaker"] current_speaker = None @@ -99,7 +99,7 @@ def match_speakers_with_gemini(minutes_text, diarization): system_instruction=instruction, ), ) - resp = chat.send_message("Show me all the market entities") + resp = chat.send_message("Show me speaker identification") result = resp.candidates[0].content.parts[0].text print(f"result: {result}") From 3bb2833b985cd97ce9f19931f2f47454c2c8ea29 Mon Sep 17 00:00:00 2001 From: Kai Lin Date: Mon, 7 Apr 2025 22:41:22 -0500 Subject: [PATCH 04/10] fix: improve DynamoDB table creation and project structure - Add error handling in create_tables.py for existing tables - Create db/__init__.py to mark db directory as a proper Python package - Ensure pyproject.toml correctly includes both src and db packages These changes allow running scripts as modules from any directory without path manipulation and properly handle the case when DynamoDB tables already exist. --- db/__init__.py | 0 db/create_tables.py | 12 ++++++++++-- pyproject.toml | 3 ++- 3 files changed, 12 insertions(+), 3 deletions(-) create mode 100644 db/__init__.py diff --git a/db/__init__.py b/db/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/db/create_tables.py b/db/create_tables.py index ac8eaba..357a9fb 100644 --- a/db/create_tables.py +++ b/db/create_tables.py @@ -1,9 +1,17 @@ from src.models.meeting import Meeting +from botocore.exceptions import ClientError def create_tables(): print("Creating DynamoDB tables if they don't exist...") - Meeting.create_table(wait=True, billing_mode="PAY_PER_REQUEST") - print("All tables created!") + try: + Meeting.create_table(wait=True, billing_mode="PAY_PER_REQUEST") + print("Meeting table created!") + except ClientError as e: + if e.response['Error']['Code'] == 'ResourceInUseException': + print("Meeting table already exists - skipping creation.") + else: + raise + print("All tables ready!") if __name__ == "__main__": create_tables() diff --git a/pyproject.toml b/pyproject.toml index 26134ec..0f1ce1c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,5 +1,5 @@ [tool.poetry] -name = "tgov scraper" +name = "tgov-scraper" version = "0.1.0" description = "A set of scripts and notebooks for exploring Tulsa Government Access Television" authors = [ @@ -7,6 +7,7 @@ authors = [ "groovecoder ", ] readme = "README.md" +packages = [{include = "src"}, {include = "db"}] [tool.poetry.dependencies] python = ">=3.11,<3.13" From b8f246561e1e72940d7b7dfc2058e98ea698359f Mon Sep 17 00:00:00 2001 From: jdungan Date: Mon, 7 Apr 2025 21:06:12 -0500 Subject: [PATCH 05/10] change Meeting date to datetime --- pyproject.toml | 3 +- src/meetings.py | 72 ++++++++++++++++++++++--------------------- src/models/meeting.py | 3 +- 3 files changed, 41 insertions(+), 37 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 0f1ce1c..5692ea6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ authors = [ "groovecoder ", ] readme = "README.md" -packages = [{include = "src"}, {include = "db"}] +packages = [{ include = "src" }, { include = "db" }] [tool.poetry.dependencies] python = ">=3.11,<3.13" @@ -38,6 +38,7 @@ pypdf = "^5.4.0" tiktoken = "^0.9.0" whisperx = "^3.3.1" google-genai = "^1.9.0" +dateparser = "^1.2.1" [tool.poetry.group.dev.dependencies] diff --git a/src/meetings.py b/src/meetings.py index 0bf6b8c..1ffebf3 100644 --- a/src/meetings.py +++ b/src/meetings.py @@ -18,11 +18,14 @@ from src.local_store import read_meetings, write_meetings from .models.meeting import Meeting +from datetime import datetime +import dateparser BASE_URL = "https://tulsa-ok.granicus.com/ViewPublisher.php?view_id=4" TGOV_BUCKET_NAME = "tgov-meetings" MEETINGS_REGISTRY_PATH = "data/meetings.jsonl" + async def fetch_page(url: str, session: aiohttp.ClientSession) -> str: """ Fetch the HTML content of a page. @@ -39,19 +42,8 @@ async def fetch_page(url: str, session: aiohttp.ClientSession) -> str: raise Exception(f"Failed to fetch {url}, status code: {response.status}") return await response.text() -def clean_date(date: str) -> str: - return re.sub(r"\s+", " ", date).strip() - -async def parse_meetings(html: str) -> List[Dict[str, str]]: - """ - Parse the meeting data from the HTML content. - Args: - html: The HTML content of the page - - Returns: - A list of dictionaries containing meeting data - """ +async def parse_meetings(html: str) -> List[Meeting]: parser = HTMLParser(html) # Find all tables with meeting data @@ -67,14 +59,19 @@ async def parse_meetings(html: str) -> List[Dict[str, str]]: name_cells = row.css('td.listItem[headers^="Name"]') meeting_name = name_cells[0].text().strip() if name_cells else "Unknown" - date_cells = row.css('td.listItem[headers^="Date"]') - raw_date = clean_date(date_cells[0].text().strip()) if date_cells else "Unknown" - meeting_date = raw_date.split("-")[0].strip() if "-" in raw_date else raw_date + date_cell = row.css_first('td.listItem[headers^="Date"]') + meeting_date = dateparser.parse(date_cell.text()) duration_cells = row.css('td.listItem[headers^="Duration"]') - duration_str = duration_cells[0].text().strip() if duration_cells else "Unknown" + duration_str = ( + duration_cells[0].text().strip() if duration_cells else "Unknown" + ) minutes = duration_to_minutes(duration_str) - meeting_duration = f"{minutes // 60}:{minutes % 60:02d}" if minutes is not None else "Unknown" + meeting_duration = ( + f"{minutes // 60}:{minutes % 60:02d}" + if minutes is not None + else "Unknown" + ) meeting_data = { "meeting": meeting_name, @@ -100,7 +97,9 @@ async def parse_meetings(html: str) -> List[Dict[str, str]]: video_link = video_cell.css_first("a") onclick = video_link.attributes.get("onclick", "") - onclick_match = re.search(r"window\.open\(['\"](//[^'\"]+)['\"]", onclick) + onclick_match = re.search( + r"window\.open\(['\"](//[^'\"]+)['\"]", onclick + ) clip_id_exp = r"clip_id=(\d+)" if onclick_match: @@ -117,14 +116,17 @@ async def parse_meetings(html: str) -> List[Dict[str, str]]: if clip_id_match: clip_id = clip_id_match.group(1) meeting_data["clip_id"] = clip_id - meeting_data["video"] = f"https://tulsa-ok.granicus.com/MediaPlayer.php?view_id=4&clip_id={clip_id}" + meeting_data["video"] = ( + f"https://tulsa-ok.granicus.com/MediaPlayer.php?view_id=4&clip_id={clip_id}" + ) else: meeting_data["video"] = urljoin(BASE_URL, href) - meetings.append(meeting_data) + meetings.append(Meeting(**meeting_data)) return meetings + async def get_tgov_meetings() -> Sequence[Meeting]: """ Fetch and parse meeting data from the Government Access Television website. @@ -134,12 +136,10 @@ async def get_tgov_meetings() -> Sequence[Meeting]: """ async with aiohttp.ClientSession() as session: html = await fetch_page(BASE_URL, session) - meeting_dicts = await parse_meetings(html) - - # Convert dictionaries to Meeting objects - meetings = [Meeting(**meeting_dict) for meeting_dict in meeting_dicts] + meetings = await parse_meetings(html) return meetings + def duration_to_minutes(duration): if not duration or pd.isna(duration): return None @@ -149,40 +149,42 @@ def duration_to_minutes(duration): hours = 0 minutes = 0 - if 'h' in duration: - hours_part = duration.split('h')[0].strip() + if "h" in duration: + hours_part = duration.split("h")[0].strip() hours = int(hours_part) - if 'm' in duration: - if 'h' in duration: - minutes_part = duration.split('h')[1].split('m')[0].strip() + if "m" in duration: + if "h" in duration: + minutes_part = duration.split("h")[1].split("m")[0].strip() else: - minutes_part = duration.split('m')[0].strip() + minutes_part = duration.split("m")[0].strip() minutes = int(minutes_part) return hours * 60 + minutes except: return None + def get_registry_meetings() -> Sequence[Meeting]: if is_aws_configured(): - print(f'Getting registry from DynamoDB.') + print(f"Getting registry from DynamoDB.") return list(Meeting.scan()) else: - print(f'Getting registry from local store') + print(f"Getting registry from local store") return read_meetings() + def write_registry_meetings(meetings: Sequence[Meeting]) -> Sequence[Meeting]: if is_aws_configured(): - print(f'Writing registry to DynamoDB.') + print(f"Writing registry to DynamoDB.") with Meeting.batch_writer(): for meeting in meetings: if meeting.clip_id: meeting.save() else: - print(f'Skipping meeting with missing clip_id: {meeting}') + print(f"Skipping meeting with missing clip_id: {meeting}") else: - print(f'Writing registry to local store') + print(f"Writing registry to local store") write_meetings(meetings) return meetings diff --git a/src/models/meeting.py b/src/models/meeting.py index cb06f7b..c4b61ac 100644 --- a/src/models/meeting.py +++ b/src/models/meeting.py @@ -6,6 +6,7 @@ from dyntastic import Dyntastic from pydantic import BaseModel, Field, HttpUrl +from datetime import datetime class Meeting(Dyntastic): @@ -18,7 +19,7 @@ class Meeting(Dyntastic): clip_id: Optional[str] = Field(None, description="Granicus clip ID") meeting: str = Field(description="Name of the meeting") - date: str = Field(description="Date and time of the meeting") + date: datetime = Field(description="Date and time of the meeting") duration: str = Field(description="Duration of the meeting") agenda: Optional[HttpUrl] = Field(None, description="URL to the meeting agenda") video: Optional[HttpUrl] = Field(None, description="URL to the meeting video") From a6ba022a5d970467ef176b1182b8b1977303b727 Mon Sep 17 00:00:00 2001 From: jdungan Date: Mon, 7 Apr 2025 21:37:09 -0500 Subject: [PATCH 06/10] update tests for Meeting model --- tests/test_meetings.py | 37 ++++++++++++++++++++++--------------- 1 file changed, 22 insertions(+), 15 deletions(-) diff --git a/tests/test_meetings.py b/tests/test_meetings.py index 9612240..32b508d 100644 --- a/tests/test_meetings.py +++ b/tests/test_meetings.py @@ -9,8 +9,9 @@ from pathlib import Path import pytest from unittest.mock import patch, MagicMock, AsyncMock - +from typing import List import sys +from datetime import datetime sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) @@ -99,33 +100,39 @@ async def test_parse_meetings(sample_html): assert len(meetings) == 2 - assert meetings[0]["meeting"] == "Regular Council Meeting" - assert meetings[0]["date"] == "April 2, 2025" - assert meetings[0]["duration"] == "1:29" - assert "AgendaViewer.php?view_id=4&clip_id=6515" in meetings[0]["agenda"] - assert "MediaPlayer.php?view_id=4&clip_id=6515" in meetings[0]["video"] + mtg_one = meetings[0] + + assert mtg_one.meeting == "Regular Council Meeting" + assert mtg_one.date == datetime(2025, 4, 2, 17, 3) + assert mtg_one.duration == "1:29" + assert "AgendaViewer.php?view_id=4&clip_id=6515" in mtg_one.agenda.encoded_string() + assert "MediaPlayer.php?view_id=4&clip_id=6515" in mtg_one.video.encoded_string() + + mtg_two = meetings[1] - assert meetings[1]["meeting"] == "Animal Welfare Commission" - assert meetings[1]["date"] == "March 10, 2025" - assert meetings[1]["duration"] == "0:38" - assert meetings[1]["agenda"] is None - assert "MediaPlayer.php?view_id=4&clip_id=6474" in meetings[1]["video"] + assert mtg_two.meeting == "Animal Welfare Commission" + assert mtg_two.date == datetime(2025, 3, 10, 18, 0) + assert mtg_two.duration == "0:38" + assert mtg_two.agenda is None + assert "MediaPlayer.php?view_id=4&clip_id=6474" in mtg_two.video.encoded_string() @pytest.mark.asyncio async def test_parse_real_html(real_html): """Test that meetings are correctly parsed from real HTML""" - meetings = await parse_meetings(real_html) + meetings: List[Meeting] = await parse_meetings(real_html) # Basic validation assert isinstance(meetings, list) assert len(meetings) > 0 # Check that each meeting has the expected fields + # this is now overkill since pydantic handles this for meeting in meetings: - assert "meeting" in meeting - assert "date" in meeting - assert "duration" in meeting + assert isinstance(meeting, Meeting) + assert hasattr(meeting, "meeting") + assert hasattr(meeting, "date") + assert hasattr(meeting, "duration") # Agenda and video may be None for some meetings From fe603c949b3e8e2e4d6ddbee3e094e0bc32db889 Mon Sep 17 00:00:00 2001 From: Kendall Werts Date: Sun, 6 Apr 2025 21:19:12 -0500 Subject: [PATCH 07/10] some tests with gpt 4o and 40 mini --- .../experiments/minutes_diarization/download_minutes.py | 4 ++-- .../minutes_diarization/process_min_diarization.py | 3 +-- pyproject.toml | 5 +++++ 3 files changed, 8 insertions(+), 4 deletions(-) diff --git a/notebooks/experiments/minutes_diarization/download_minutes.py b/notebooks/experiments/minutes_diarization/download_minutes.py index e9e72df..a61f599 100644 --- a/notebooks/experiments/minutes_diarization/download_minutes.py +++ b/notebooks/experiments/minutes_diarization/download_minutes.py @@ -21,11 +21,11 @@ def download_minutes_pdfs(): # Parse the HTML using selectolax tree = HTMLParser(response.content) - # Find all divs with class row + # Find all rows that contain filename divs rows = tree.css("div.row") for row in rows: - # Find divs with class fileName + # Find the filename div in this row filename_div = row.css_first("div.fileName") if not filename_div: continue diff --git a/notebooks/experiments/minutes_diarization/process_min_diarization.py b/notebooks/experiments/minutes_diarization/process_min_diarization.py index 275bf3c..fe1489b 100644 --- a/notebooks/experiments/minutes_diarization/process_min_diarization.py +++ b/notebooks/experiments/minutes_diarization/process_min_diarization.py @@ -162,8 +162,7 @@ def main(): print(f"Minutes text length: {len(encoding.encode(minutes_text))}") # Use ChatGPT to match speakers - # speaker_matches = match_speakers_with_chatgpt(minutes_text, simple_diarization) - speaker_matches = match_speakers_with_gemini(minutes_text, simple_diarization) + speaker_matches = match_speakers_with_chatgpt(minutes_text, simple_diarization) print(speaker_matches) diff --git a/pyproject.toml b/pyproject.toml index 5692ea6..740689a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -39,6 +39,11 @@ tiktoken = "^0.9.0" whisperx = "^3.3.1" google-genai = "^1.9.0" dateparser = "^1.2.1" +langchain-community = "^0.3.21" +openai = "^1.70.0" +pypdf = "^5.4.0" +tiktoken = "^0.9.0" +whisperx = "^3.3.1" [tool.poetry.group.dev.dependencies] From acbf5bbb5e78467f85a0a8d6a557ef23050edda2 Mon Sep 17 00:00:00 2001 From: Kendall Werts Date: Sun, 27 Apr 2025 15:00:42 -0500 Subject: [PATCH 08/10] wip --- flows/check_for_new_minutes.py | 26 ++++++++++++ tasks/minutes.py | 77 ++++++++++++++++++++++++++++++++++ 2 files changed, 103 insertions(+) create mode 100644 flows/check_for_new_minutes.py create mode 100644 tasks/minutes.py diff --git a/flows/check_for_new_minutes.py b/flows/check_for_new_minutes.py new file mode 100644 index 0000000..873f983 --- /dev/null +++ b/flows/check_for_new_minutes.py @@ -0,0 +1,26 @@ +from prefect import flow + +from tasks.meetings import get_new_meetings + + +@flow(log_prints=True) +async def check_for_new_minutes(): + # TODO: Get the last run page from the database + # last_run_page = get_last_run_page() + last_run_page = 47711 + new_minutes, new_last_run_page = await get_new_meetings(last_run_page) + # TODO: Save last run page to the database + # set_last_run_page(new_last_run_page) + for minutes in new_minutes: + # TODO: Get the transcriptions + # transcription = get_transcriptions(meeting) + # transcription = + new_diarization = get_speaker_names(minutes, transcription) + # TODO: Replace the transcription + # replace_transcription(new_diarization) + + +if __name__ == "__main__": + import asyncio + + asyncio.run(check_for_new_minutes()) diff --git a/tasks/minutes.py b/tasks/minutes.py new file mode 100644 index 0000000..817caf7 --- /dev/null +++ b/tasks/minutes.py @@ -0,0 +1,77 @@ +from datetime import datetime +import aiohttp +import re + +from pathlib import Path +from fastapi import File +from prefect import task +from pydantic import BaseModel +from selectolax.parser import HTMLParser + +from src.meetings import fetch_page + + +class Minutes(BaseModel): + file: File + meeting_date: datetime + doc_id: str + + +@task +async def get_new_minutes(last_minutes_page: int): + # TODO: Get last minutes page # from registry + # last_minutes_page = 47711 + step_up_to = 100 + base_url = "https://www.cityoftulsa.org/apps/CouncilDocuments" + + for item_num in range(last_minutes_page + 1, last_minutes_page + step_up_to): + url = f"{base_url}?item={item_num}" + print(f"Checking page: {url}") + + async with aiohttp.ClientSession() as session: + response = await fetch_page(url, session) + + # Parse the HTML using selectolax + tree = HTMLParser(response.content) + + # Find all rows + rows = tree.css("div.row") + + for row in rows: + # Find the fileName div in this row + filename_div = row.css_first("div.fileName") + if not filename_div: + continue + + filename = filename_div.text().strip() + if "minutes" not in filename.lower(): + continue + + # Check if file already exists + full_filepath = Path(folder) / filename + if full_filepath.exists(): + print(f"File already exists, skipping: {filename}") + continue + + # Find the hidden div with the document ID + doc_id_div = row.css_first("div.pdfString.hidden") + if not doc_id_div: + print(f"No document ID found for {filename}") + continue + + doc_id = doc_id_div.text().strip() + pdf_url = f"https://www.cityoftulsa.org/apps/COTDisplayDocument/?DocumentType=CouncilDocument&DocumentIdentifiers={doc_id}" + + print(f"Downloading: {filename}") + pdf_response = requests.get(pdf_url, stream=True) + + if pdf_response.status_code == 200: + with open(full_filepath, "wb") as f: + for chunk in pdf_response.iter_content(chunk_size=8192): + f.write(chunk) + print(f"Successfully downloaded {filename}") + else: + print(f"Failed to download {filename}") + + item_num += 1 + pass From 5b54a4e866b3078b447547d0c187d1615f4a0e81 Mon Sep 17 00:00:00 2001 From: Kendall Werts Date: Sun, 27 Apr 2025 15:56:37 -0500 Subject: [PATCH 09/10] downloads locally --- .gitignore | 2 +- example.env | 14 + .../minutes_diarization/download_minutes.py | 60 +- poetry.lock | 7975 +++++++++++++++++ 4 files changed, 8036 insertions(+), 15 deletions(-) create mode 100644 example.env create mode 100644 poetry.lock diff --git a/.gitignore b/.gitignore index 34dee26..aa005b4 100644 --- a/.gitignore +++ b/.gitignore @@ -39,7 +39,6 @@ htmlcov/ # Poetry .venv/ -poetry.lock # React node_modules/ @@ -52,3 +51,4 @@ build/ npm-debug.log* yarn-debug.log* yarn-error.log* +tmp diff --git a/example.env b/example.env new file mode 100644 index 0000000..e1d9ce2 --- /dev/null +++ b/example.env @@ -0,0 +1,14 @@ +######## For Files ######## +## Use local files +ENV=local + +## For S3 bucket access +AWS_ACCESS_KEY_ID= +AWS_SECRET_ACCESS_KEY= +AWS_REGION=us-east-1 +AWS_BUCKET=tulsa-city-council +MINUTES_FOLDER=minutes + +######## For Speaker Identification ######## +OPENAI_API_KEY= +GOOGLE_API_KEY= diff --git a/notebooks/experiments/minutes_diarization/download_minutes.py b/notebooks/experiments/minutes_diarization/download_minutes.py index a61f599..b401e1d 100644 --- a/notebooks/experiments/minutes_diarization/download_minutes.py +++ b/notebooks/experiments/minutes_diarization/download_minutes.py @@ -1,13 +1,43 @@ +import os from pathlib import Path -import re import requests +import boto3 from selectolax.parser import HTMLParser +ENV = os.getenv("ENV") +S3_BUCKET = os.getenv("S3_BUCKET") +MINUTES_FOLDER = os.getenv("MINUTES_FOLDER") + + +def check_if_file_exists(path: Path, filename: str) -> bool: + if ENV == "local": + # Check if file already exists + full_filepath = path / filename + if full_filepath.exists(): + return True + else: + # Check s3 bucket for file + s3_client = boto3.client("s3") + s3_key = f"{MINUTES_FOLDER}/{filename}" + try: + s3_client.head_object(Bucket=S3_BUCKET, Key=s3_key) + except s3_client.exceptions.NoSuchKey: + return False + return True + + +def add_file_to_s3(pdf_response: requests.Response, filename: str): + s3_client = boto3.client("s3") + s3_key = f"{MINUTES_FOLDER}/{filename}" + s3_client.upload_fileobj(pdf_response.raw, S3_BUCKET, s3_key) + def download_minutes_pdfs(): folder = "test_data" base_url = "https://www.cityoftulsa.org/apps/CouncilDocuments" - Path("./notebooks/experiments/test_data").mkdir(parents=True, exist_ok=True) + path = Path(f"./tmp/{folder}") + path.mkdir(parents=True, exist_ok=True) + print(f"Downloading minutes to {path}") for item_num in range(47711, 48000): url = f"{base_url}?item={item_num}" @@ -34,12 +64,6 @@ def download_minutes_pdfs(): if "minutes" not in filename.lower(): continue - # Check if file already exists - full_filepath = Path(folder) / filename - if full_filepath.exists(): - print(f"File already exists, skipping: {filename}") - continue - # Find the hidden div with the document ID doc_id_div = row.css_first("div.pdfString.hidden") if not doc_id_div: @@ -49,16 +73,24 @@ def download_minutes_pdfs(): doc_id = doc_id_div.text().strip() pdf_url = f"https://www.cityoftulsa.org/apps/COTDisplayDocument/?DocumentType=CouncilDocument&DocumentIdentifiers={doc_id}" + if check_if_file_exists(path, filename): + print(f"File already exists, skipping: {filename}") + continue + print(f"Downloading: {filename}") pdf_response = requests.get(pdf_url, stream=True) - if pdf_response.status_code == 200: - with open(full_filepath, "wb") as f: - for chunk in pdf_response.iter_content(chunk_size=8192): - f.write(chunk) - print(f"Successfully downloaded {filename}") + if ENV == "local": + full_filepath = path / filename + if pdf_response.status_code == 200: + with open(full_filepath, "wb") as f: + for chunk in pdf_response.iter_content(chunk_size=8192): + f.write(chunk) + print(f"Successfully downloaded {filename}") + else: + print(f"Failed to download {filename}") else: - print(f"Failed to download {filename}") + add_file_to_s3(pdf_response, filename) item_num += 1 diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..4c6df57 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,7975 @@ +# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. + +[[package]] +name = "aiofiles" +version = "24.1.0" +description = "File support for asyncio." +optional = false +python-versions = ">=3.8" +files = [ + {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"}, + {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"}, +] + +[[package]] +name = "aiohappyeyeballs" +version = "2.6.1" +description = "Happy Eyeballs for asyncio" +optional = false +python-versions = ">=3.9" +files = [ + {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = 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+lock-version = "2.0" +python-versions = ">=3.11,<3.13" +content-hash = "5143613da3481a8a4666e9168804a4ebbfc8ac9c8192842f5d9d530514e44b5d" From 9372c18083c94222f6102d8121b9e935c0687abe Mon Sep 17 00:00:00 2001 From: Kendall Werts Date: Sun, 27 Apr 2025 22:47:12 -0500 Subject: [PATCH 10/10] added dl of minutes to flow and task. --- flows/check_for_new_minutes.py | 24 ++++-- .../download_minutes.py | 51 ++++++++---- src/models/minutes.py | 8 ++ tasks/minutes.py | 77 ++----------------- 4 files changed, 64 insertions(+), 96 deletions(-) rename {notebooks/experiments/minutes_diarization => src}/download_minutes.py (64%) create mode 100644 src/models/minutes.py diff --git a/flows/check_for_new_minutes.py b/flows/check_for_new_minutes.py index 873f983..0956d24 100644 --- a/flows/check_for_new_minutes.py +++ b/flows/check_for_new_minutes.py @@ -1,6 +1,8 @@ +from datetime import datetime from prefect import flow -from tasks.meetings import get_new_meetings +from tasks.minutes import get_new_minutes + @flow(log_prints=True) @@ -8,16 +10,22 @@ async def check_for_new_minutes(): # TODO: Get the last run page from the database # last_run_page = get_last_run_page() last_run_page = 47711 - new_minutes, new_last_run_page = await get_new_meetings(last_run_page) + new_minutes, new_last_run_page = await get_new_minutes(last_run_page) # TODO: Save last run page to the database # set_last_run_page(new_last_run_page) + # TODO: get meetings with no speaker ids from db + meetings = [datetime(2025, 2, 26, 17, 0)] + # TODO: get transcriptions from db for minutes in new_minutes: - # TODO: Get the transcriptions - # transcription = get_transcriptions(meeting) - # transcription = - new_diarization = get_speaker_names(minutes, transcription) - # TODO: Replace the transcription - # replace_transcription(new_diarization) + if minutes.meeting_date in meetings: + # TODO: Get diarisation + # diarisation = await get_diarisation(minutes) + # TODO: Get the transcription instead of diarisation + # transcription = get_transcriptions(meeting) + # TODO: Get the speaker names + # new_transcription = get_speaker_names(minutes, diarisation) + # TODO: Replace transcription + # replace_transcription(new_diarization) if __name__ == "__main__": diff --git a/notebooks/experiments/minutes_diarization/download_minutes.py b/src/download_minutes.py similarity index 64% rename from notebooks/experiments/minutes_diarization/download_minutes.py rename to src/download_minutes.py index b401e1d..e544de4 100644 --- a/notebooks/experiments/minutes_diarization/download_minutes.py +++ b/src/download_minutes.py @@ -2,42 +2,51 @@ from pathlib import Path import requests import boto3 +import botocore from selectolax.parser import HTMLParser +from dateutil.parser import parse + +from src.models.minutes import Minutes ENV = os.getenv("ENV") S3_BUCKET = os.getenv("S3_BUCKET") MINUTES_FOLDER = os.getenv("MINUTES_FOLDER") +s3_client = boto3.client("s3") + def check_if_file_exists(path: Path, filename: str) -> bool: if ENV == "local": - # Check if file already exists full_filepath = path / filename if full_filepath.exists(): return True + return False else: - # Check s3 bucket for file + print(f"{S3_BUCKET} {MINUTES_FOLDER} {filename}") s3_client = boto3.client("s3") s3_key = f"{MINUTES_FOLDER}/{filename}" try: s3_client.head_object(Bucket=S3_BUCKET, Key=s3_key) - except s3_client.exceptions.NoSuchKey: - return False - return True + return True + except botocore.exceptions.ClientError as e: + if e.response["Error"]["Code"] == "404": + return False + else: + raise e def add_file_to_s3(pdf_response: requests.Response, filename: str): - s3_client = boto3.client("s3") s3_key = f"{MINUTES_FOLDER}/{filename}" s3_client.upload_fileobj(pdf_response.raw, S3_BUCKET, s3_key) -def download_minutes_pdfs(): +def download_minutes_pdfs(last_minutes_page: int = 47711): folder = "test_data" base_url = "https://www.cityoftulsa.org/apps/CouncilDocuments" path = Path(f"./tmp/{folder}") path.mkdir(parents=True, exist_ok=True) print(f"Downloading minutes to {path}") + minutes = [] for item_num in range(47711, 48000): url = f"{base_url}?item={item_num}" @@ -51,11 +60,11 @@ def download_minutes_pdfs(): # Parse the HTML using selectolax tree = HTMLParser(response.content) - # Find all rows that contain filename divs + # Find all divs with class "row" rows = tree.css("div.row") for row in rows: - # Find the filename div in this row + # Find divs with class "fileName" filename_div = row.css_first("div.fileName") if not filename_div: continue @@ -80,19 +89,29 @@ def download_minutes_pdfs(): print(f"Downloading: {filename}") pdf_response = requests.get(pdf_url, stream=True) - if ENV == "local": - full_filepath = path / filename - if pdf_response.status_code == 200: + full_filepath = path / filename + if pdf_response.status_code == 200: + if ENV == "local": with open(full_filepath, "wb") as f: for chunk in pdf_response.iter_content(chunk_size=8192): f.write(chunk) - print(f"Successfully downloaded {filename}") else: - print(f"Failed to download {filename}") + add_file_to_s3(pdf_response, filename) + print(f"Successfully downloaded {filename}") + last_minutes_page = item_num + meeting_date_str = " ".join(filename.split(" ")[-3:-1]).strip() + meeting_date = parse(meeting_date_str) + minutes.append( + Minutes(file=filename, meeting_date=meeting_date, doc_id=doc_id) + ) else: - add_file_to_s3(pdf_response, filename) + print(f"Failed to download {filename}") item_num += 1 + return minutes, last_minutes_page -download_minutes_pdfs() +if __name__ == "__main__": + minutes, last_minutes_page = download_minutes_pdfs() + print(f"Last minutes page: {last_minutes_page}") + print(f"Minutes: {minutes}") diff --git a/src/models/minutes.py b/src/models/minutes.py new file mode 100644 index 0000000..f78ba53 --- /dev/null +++ b/src/models/minutes.py @@ -0,0 +1,8 @@ +from datetime import datetime +from pydantic import BaseModel + + +class Minutes(BaseModel): + file: str + meeting_date: datetime + doc_id: str diff --git a/tasks/minutes.py b/tasks/minutes.py index 817caf7..8510471 100644 --- a/tasks/minutes.py +++ b/tasks/minutes.py @@ -1,77 +1,10 @@ -from datetime import datetime -import aiohttp -import re - -from pathlib import Path -from fastapi import File +from typing import List, Tuple from prefect import task -from pydantic import BaseModel -from selectolax.parser import HTMLParser - -from src.meetings import fetch_page - -class Minutes(BaseModel): - file: File - meeting_date: datetime - doc_id: str +from src.download_minutes import download_minutes_pdfs +from src.models.minutes import Minutes @task -async def get_new_minutes(last_minutes_page: int): - # TODO: Get last minutes page # from registry - # last_minutes_page = 47711 - step_up_to = 100 - base_url = "https://www.cityoftulsa.org/apps/CouncilDocuments" - - for item_num in range(last_minutes_page + 1, last_minutes_page + step_up_to): - url = f"{base_url}?item={item_num}" - print(f"Checking page: {url}") - - async with aiohttp.ClientSession() as session: - response = await fetch_page(url, session) - - # Parse the HTML using selectolax - tree = HTMLParser(response.content) - - # Find all rows - rows = tree.css("div.row") - - for row in rows: - # Find the fileName div in this row - filename_div = row.css_first("div.fileName") - if not filename_div: - continue - - filename = filename_div.text().strip() - if "minutes" not in filename.lower(): - continue - - # Check if file already exists - full_filepath = Path(folder) / filename - if full_filepath.exists(): - print(f"File already exists, skipping: {filename}") - continue - - # Find the hidden div with the document ID - doc_id_div = row.css_first("div.pdfString.hidden") - if not doc_id_div: - print(f"No document ID found for {filename}") - continue - - doc_id = doc_id_div.text().strip() - pdf_url = f"https://www.cityoftulsa.org/apps/COTDisplayDocument/?DocumentType=CouncilDocument&DocumentIdentifiers={doc_id}" - - print(f"Downloading: {filename}") - pdf_response = requests.get(pdf_url, stream=True) - - if pdf_response.status_code == 200: - with open(full_filepath, "wb") as f: - for chunk in pdf_response.iter_content(chunk_size=8192): - f.write(chunk) - print(f"Successfully downloaded {filename}") - else: - print(f"Failed to download {filename}") - - item_num += 1 - pass +async def get_new_minutes(last_minutes_page: int) -> Tuple[List[Minutes], int]: + return download_minutes_pdfs(last_minutes_page)