Merge branch 'use_pydantic' of DemiSel/Messenger_1Million_Stats into master

.gitignore

@@ -0,0 +1,41 @@
+*.pyc
+
+# Packages
+*.egg
+!/tests/**/*.egg
+/*.egg-info
+/dist/*
+build
+_build
+.cache
+*.so
+
+# Installer logs
+pip-log.txt
+
+# Unit test / coverage reports
+.coverage
+.pytest_cache
+
+.DS_Store
+.idea/*
+.python-version
+.vscode/*
+
+/test.py
+/test_*.*
+
+/setup.cfg
+MANIFEST.in
+/setup.py
+/docs/site/*
+/tests/fixtures/simple_project/setup.py
+/tests/fixtures/project_with_extras/setup.py
+.mypy_cache
+
+.venv
+/releases/*
+pip-wheel-metadata
+/poetry.toml
+
+poetry/core/*

million/analyze/count_participations.py

@@ -0,0 +1,23 @@
+
+from typing import List
+from million.model.message import Message
+from million.model.participant import Participant
+
+
+def count_participations(messages: List[Message], participants: List[Participant]):
+    """
+    Count the number of messages sent by each participant
+    """
+    participations = {}
+    for participant in participants:
+        participations[participant.name] = 0
+
+    for message in messages:
+        if message.sender_name not in participations:
+            participations[message.sender_name] = 1
+        else:
+            participations[message.sender_name] += 1
+
+    ordered_participations = sorted(
+        participations.items(), key=lambda x: x[1], reverse=True)
+    return [{"name": v[0], "participations": v[1]} for v in ordered_participations]

million/analyze/find_holes.py

@@ -0,0 +1,73 @@
+
+
+from typing import List
+from million.model.hole import Hole
+from million.model.message import Message
+from million.model.sequence import Sequence
+
+
+def compute_sequences(messages: List[Message], accepted_max: int = 1_000_000) -> List[Sequence]:
+    sequences: List[Sequence] = []
+    current_sequence = Sequence(
+        start=messages[0].get_counted_value(),
+        start_message=messages[0],
+        end=messages[0].get_counted_value(),
+        end_message=messages[0]
+    )
+    for i in range(1, len(messages)):
+        message = messages[i]
+        message_value = message.get_counted_value()
+        if message_value > accepted_max:
+            continue
+        if message_value - current_sequence.end == 1:
+            current_sequence.end = message_value
+            current_sequence.end_message = message
+        else:
+            sequences.append(current_sequence)
+            current_sequence = Sequence(
+                start=message_value,
+                start_message=message,
+                end=message_value,
+                end_message=message
+            )
+
+    # order the sequences by start
+    sequences.sort(key=lambda s: s.start)
+
+    merged_sequences: List[Sequence] = []
+    current_sequence = sequences[0]
+    for i in range(1, len(sequences)):
+        sequence = sequences[i]
+        sequence_start_is_in_current_sequence = current_sequence.start <= sequence.start and current_sequence.end >= sequence.start
+        sequence_end_is_further = sequence.end > current_sequence.end
+        sequence_start_is_current_end_or_next = sequence.start == current_sequence.end + 1
+
+        if sequence_start_is_in_current_sequence or sequence_start_is_current_end_or_next:
+            if sequence_end_is_further:
+                current_sequence.end = sequence.end
+                current_sequence.end_message = sequence.end_message
+        else:
+            merged_sequences.append(current_sequence)
+            current_sequence = sequence
+
+    # Having merged the sequences once, any sequence having start = end can be removed
+    return [s for s in merged_sequences if s.start != s.end]
+
+
+def find_holes(messages: List[Message], accepted_max: int = 1_000_000) -> List[Hole]:
+    """
+    Find the holes in the conversation
+    """
+    merged_sequences = compute_sequences(messages, accepted_max)
+    holes = []
+    for i in range(1, len(merged_sequences)):
+        previous_sequence = merged_sequences[i - 1]
+        sequence = merged_sequences[i]
+        if sequence.start - previous_sequence.end > 1:
+            holes.append(Hole(
+                start=previous_sequence.end,
+                end=sequence.start,
+                start_message=previous_sequence.end_message,
+                end_message=sequence.start_message
+            ))
+    return holes

million/analyze/retain_counts.py

@@ -0,0 +1,16 @@
+
+import re
+from typing import List
+from million.model.message import Message
+
+
+def retain_counts(messages : List[Message])-> List[Message]:
+    """
+    Retain only the messages that have a content and a sender_name
+    """
+    return [
+        m for m in messages 
+        if m.content and 
+        m.sender_name and
+        re.search('(\d{2,}|^\d$)', m.content)
+        ]

million/model/fb_export.py

@@ -0,0 +1,11 @@
+
+from typing import List
+from pydantic import BaseModel
+from million.model.message import Message
+
+from million.model.participant import Participant
+
+
+class FacebookExport(BaseModel):
+    messages: List[Message]
+    participants: List[Participant]

million/model/hole.py

@@ -0,0 +1,11 @@
+
+from pydantic import BaseModel
+
+from million.model.message import Message
+
+
+class Hole(BaseModel):
+    start: int
+    end: int
+    start_message: Message
+    end_message: Message

million/model/message.py

@@ -0,0 +1,26 @@
+
+from math import floor
+from typing import Optional
+from pydantic import BaseModel
+
+
+class Message(BaseModel):
+    sender_name: str
+    timestamp_ms: int
+    content: Optional[str] = None
+    is_geoblocked_for_viewer: Optional[bool] = None
+
+    def get_counted_value(self):
+        """
+        The content of the message should be (or contain) a number
+        """
+        value = None
+        # Remove any number that is not a digit
+        # TODO parse potential math expressions in content
+        cleaned_content = ''.join([c for c in self.content if c.isdigit()])
+        try:
+            value = floor(float(cleaned_content))
+        except Exception as e:
+            raise ValueError(
+                f"Message {cleaned_content} does not contain a number ({e})")
+        return value

million/model/participant.py

@@ -0,0 +1,6 @@
+
+from pydantic import BaseModel
+
+
+class Participant(BaseModel):
+    name: str

million/model/sequence.py

@@ -0,0 +1,12 @@
+
+from typing import Optional
+from pydantic import BaseModel
+
+from million.model.message import Message
+
+
+class Sequence(BaseModel):
+    start: int
+    start_message: Message
+    end: int
+    end_message: Message

million/parse/fb_exports.py

@@ -0,0 +1,37 @@
+
+import json
+import os
+import re
+from typing import List
+
+from million.model.fb_export import FacebookExport
+from million.model.message import Message
+
+
+class FacebookExportParser:
+
+    def __init__(self):
+        pass
+
+    def parse(self, file_dir) -> FacebookExport:
+        files = [file_dir +
+                 f for f in os.listdir(file_dir) if f.endswith('.json')]
+        messages = []
+        participants = []
+        for file in files:
+            print(file)
+            with open(file, 'rb') as f:
+                json_data = self.__read_broken_fb_json(f.read())
+                messages += [Message(**m) for m in json_data['messages']]
+                participants += json_data['participants']
+
+        messages.sort(key=lambda m: m.timestamp_ms)
+        return FacebookExport(messages=messages, participants=participants)
+
+    def __read_broken_fb_json(self, binary_data):
+        repaired = re.sub(
+            rb'\\u00([\da-f]{2})',
+            lambda m: bytes.fromhex(m.group(1).decode()),
+            binary_data
+        )
+        return json.loads(repaired.decode('utf8'))

million/view/bar_chart.py

@@ -0,0 +1,16 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+
+def plot(data):
+    # Convert the list of dictionaries to a pandas DataFrame
+    df = pd.DataFrame(data)
+
+    # Plotting
+    plt.figure(figsize=(10, 6))  # Set the figure size
+    plt.bar(df['name'], df['participations'],
+            color='skyblue')  # Create a bar chart
+    plt.xlabel('Name')  # Label on X-axis
+    plt.ylabel('Participations')  # Label on Y-axis
+    plt.title('Number of Participations by Name')  # Title of the chart
+    plt.xticks(rotation=45)  # Rotate the X-axis labels for better readability
+    plt.savefig('participations.png')  # Save the chart as a PNG file

poetry.lock

@@ -0,0 +1,716 @@
+# This file is automatically @generated by Poetry 1.5.0 and should not be changed by hand.
+
+[[package]]
+name = "annotated-types"
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+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
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+
+[[package]]
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+version = "2024.1"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+files = [
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+    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
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+[metadata]
+lock-version = "2.0"
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pyproject.toml

@@ -0,0 +1,18 @@
+[tool.poetry]
+name = "messenger-1million-stats"
+version = "0.1.0"
+description = ""
+authors = ["demisel <elias@demisel.space>"]
+readme = "README.md"
+packages = [{include = "messenger_1million_stats"}]
+
+[tool.poetry.dependencies]
+python = "^3.10"
+matplotlib = "^3.8.3"
+pydantic = "^2.6.1"
+pandas = "^2.2.0"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

scripts/find_holes.py

@@ -0,0 +1,46 @@
+from datetime import datetime
+from million.analyze.find_holes import compute_sequences, find_holes
+from million.view.bar_chart import plot as bar_chart
+from million.analyze.count_participations import count_participations
+from million.analyze.retain_counts import retain_counts
+from million.parse.fb_exports import FacebookExportParser
+
+
+DATA_PATH = './data/'
+
+parser = FacebookExportParser()
+
+export = parser.parse(DATA_PATH)
+
+filtered = retain_counts(export.messages)
+
+sequences = compute_sequences(filtered)
+
+actual_counted = sum([s.end - s.start for s in sequences])
+
+print(f"Actual counted: {actual_counted}")
+
+holes = find_holes(filtered)
+
+print(len(holes))
+
+for hole in holes:
+    print(f"{hole.start} - {hole.end} ({hole.end - hole.start})")
+
+
+# lets export a csv file of the holes and the people responsible for them
+with open('holes.csv', 'w') as f:
+    f.write('début,fin,taille,responsable1,responsable2,date1,date2\n')
+    for hole in holes:
+        date_start = datetime.utcfromtimestamp(
+            hole.start_message.timestamp_ms / 1000.0).strftime('%Y-%m-%d %H:%M:%S')
+        date_end = datetime.utcfromtimestamp(
+            hole.end_message.timestamp_ms / 1000.0).strftime('%Y-%m-%d %H:%M:%S')
+        f.write(
+            f"{hole.start},"
+            f"{hole.end},"
+            f"{hole.end - hole.start},"
+            f"{hole.start_message.sender_name},"
+            f"{hole.end_message.sender_name},"
+            f"{date_start},{date_end}\n"
+        )

scripts/read_top.py

@@ -0,0 +1,23 @@
+from million.view.bar_chart import plot as bar_chart
+from million.analyze.count_participations import count_participations
+from million.analyze.retain_counts import retain_counts
+from million.parse.fb_exports import FacebookExportParser
+
+
+DATA_PATH = './data/'
+
+parser = FacebookExportParser()
+
+export = parser.parse(DATA_PATH)
+
+filtered = retain_counts(export.messages)
+
+print(len(filtered))
+
+counted_participations = count_participations(filtered, export.participants)
+
+kept_participations = [
+    p for p in counted_participations if p['participations'] > 100]
+
+print("\n".join(
+    [f"{p['name']}: {p['participations']}" for p in kept_participations]))