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Use pydantic

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demisel hace 7 meses
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.gitignore Ver fichero

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

+ 23
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million/analyze/count_participations.py Ver fichero

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

+ 16
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million/analyze/retain_counts.py Ver fichero

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

+ 11
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million/model/fb_export.py Ver fichero

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+
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+from typing import List
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+from pydantic import BaseModel
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+from million.model.message import Message
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+
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+from million.model.participant import Participant
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+
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+
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+class FacebookExport(BaseModel):
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+    messages: List[Message]
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+    participants: List[Participant]

+ 10
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million/model/message.py Ver fichero

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+
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+from typing import Optional
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+from pydantic import BaseModel
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+
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+
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+class Message(BaseModel):
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+    sender_name: str
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+    timestamp_ms: int
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+    content: Optional[str] = None
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+    is_geoblocked_for_viewer: bool

+ 6
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million/model/participant.py Ver fichero

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+
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+from pydantic import BaseModel
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+
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+
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+class Participant(BaseModel):
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+    name: str

+ 37
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million/parse/fb_exports.py Ver fichero

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

+ 16
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million/view/bar_chart.py Ver fichero

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

BIN
participations.png Ver fichero


+ 716
- 0
poetry.lock Ver fichero

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+# This file is automatically @generated by Poetry 1.5.0 and should not be changed by hand.
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+
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+[[package]]
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+version = "0.6.0"
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+description = "Reusable constraint types to use with typing.Annotated"
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+optional = false
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+python-versions = ">=3.8"
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+    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
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+]
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+
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+[[package]]
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+name = "contourpy"
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+version = "1.2.0"
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+description = "Python library for calculating contours of 2D quadrilateral grids"
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+optional = false
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+python-versions = ">=3.9"
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+
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639
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640
+
641
+[[package]]
642
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643
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644
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645
+optional = false
646
+python-versions = ">=3.6.8"
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+]
651
+
652
+[package.extras]
653
+diagrams = ["jinja2", "railroad-diagrams"]
654
+
655
+[[package]]
656
+name = "python-dateutil"
657
+version = "2.8.2"
658
+description = "Extensions to the standard Python datetime module"
659
+optional = false
660
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
661
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662
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664
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665
+
666
+[package.dependencies]
667
+six = ">=1.5"
668
+
669
+[[package]]
670
+name = "pytz"
671
+version = "2024.1"
672
+description = "World timezone definitions, modern and historical"
673
+optional = false
674
+python-versions = "*"
675
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678
+]
679
+
680
+[[package]]
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682
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683
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684
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685
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689
+]
690
+
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+[[package]]
692
+name = "typing-extensions"
693
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694
+description = "Backported and Experimental Type Hints for Python 3.8+"
695
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696
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697
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+    {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
700
+]
701
+
702
+[[package]]
703
+name = "tzdata"
704
+version = "2024.1"
705
+description = "Provider of IANA time zone data"
706
+optional = false
707
+python-versions = ">=2"
708
+files = [
709
+    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
710
+    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
711
+]
712
+
713
+[metadata]
714
+lock-version = "2.0"
715
+python-versions = "^3.10"
716
+content-hash = "2f3cf452fb668f0f7dc134643e52cee57a754cb616cd4525addbb07d985a24d8"

+ 18
- 0
pyproject.toml Ver fichero

@@ -0,0 +1,18 @@
1
+[tool.poetry]
2
+name = "messenger-1million-stats"
3
+version = "0.1.0"
4
+description = ""
5
+authors = ["demisel <elias@demisel.space>"]
6
+readme = "README.md"
7
+packages = [{include = "messenger_1million_stats"}]
8
+
9
+[tool.poetry.dependencies]
10
+python = "^3.10"
11
+matplotlib = "^3.8.3"
12
+pydantic = "^2.6.1"
13
+pandas = "^2.2.0"
14
+
15
+
16
+[build-system]
17
+requires = ["poetry-core"]
18
+build-backend = "poetry.core.masonry.api"

+ 23
- 0
scripts/read_top.py Ver fichero

@@ -0,0 +1,23 @@
1
+from million.view.bar_chart import plot as bar_chart
2
+from million.analyze.count_participations import count_participations
3
+from million.analyze.retain_counts import retain_counts
4
+from million.parse.fb_exports import FacebookExportParser
5
+
6
+
7
+DATA_PATH = './data/'
8
+
9
+parser = FacebookExportParser()
10
+
11
+export = parser.parse(DATA_PATH)
12
+
13
+filtered = retain_counts(export.messages)
14
+
15
+print(len(filtered))
16
+
17
+counted_participations = count_participations(filtered, export.participants)
18
+
19
+kept_participations = [
20
+    p for p in counted_participations if p['participations'] > 100]
21
+
22
+print("\n".join(
23
+    [f"{p['name']}: {p['participations']}" for p in kept_participations]))

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