neuralworm commited on
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420ea26
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1 Parent(s): 99b3ef5

Update app.py

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  1. app.py +35 -304
app.py CHANGED
@@ -3,340 +3,71 @@ logger = logging.getLogger(__name__)
3
  logging.basicConfig(level=logging.INFO)
4
 
5
  import gradio as gr
6
- import torah
7
- import bible
8
- import quran
9
- from utils import number_to_ordinal_word, custom_normalize, date_to_words, translate_date_to_words
10
  from gematria import calculate_gematria, strip_diacritics
11
-
12
- import pandas as pd
13
- from deep_translator import GoogleTranslator
14
- from gradio_calendar import Calendar
15
  from datetime import datetime, timedelta
16
- import math
17
  import json
18
- import re
19
- import sqlite3
20
- from collections import defaultdict
21
- from typing import List, Tuple
22
-
23
- # --- Constants ---
24
- DATABASE_FILE = 'gematria.db'
25
- MAX_PHRASE_LENGTH_LIMIT = 20
26
-
27
- # --- Database Initialization ---
28
- def initialize_database():
29
- global conn
30
- conn = sqlite3.connect(DATABASE_FILE)
31
- cursor = conn.cursor()
32
- cursor.execute('''
33
- CREATE TABLE IF NOT EXISTS results (
34
- gematria_sum INTEGER,
35
- words TEXT,
36
- translation TEXT,
37
- book TEXT,
38
- chapter INTEGER,
39
- verse INTEGER,
40
- phrase_length INTEGER,
41
- word_position TEXT,
42
- PRIMARY KEY (gematria_sum, words, book, chapter, verse, word_position)
43
- )
44
- ''')
45
- cursor.execute('''
46
- CREATE INDEX IF NOT EXISTS idx_results_gematria
47
- ON results (gematria_sum)
48
- ''')
49
- cursor.execute('''
50
- CREATE TABLE IF NOT EXISTS processed_books (
51
- book TEXT PRIMARY KEY,
52
- max_phrase_length INTEGER
53
- )
54
- ''')
55
- conn.commit()
56
-
57
- # --- Initialize Database ---
58
- initialize_database()
59
-
60
- # --- Helper Functions (from Network app.py) ---
61
- def flatten_text(text: List) -> str:
62
- if isinstance(text, list):
63
- return " ".join(flatten_text(item) if isinstance(item, list) else item for item in text)
64
- return text
65
 
66
- def search_gematria_in_db(gematria_sum: int, max_words: int) -> List[Tuple[str, str, int, int, int, str]]:
67
- global conn
68
- with sqlite3.connect(DATABASE_FILE) as conn:
69
- cursor = conn.cursor()
70
- cursor.execute('''
71
- SELECT words, book, chapter, verse, phrase_length, word_position
72
- FROM results
73
- WHERE gematria_sum = ? AND phrase_length <= ?
74
- ''', (gematria_sum, max_words))
75
- results = cursor.fetchall()
76
- return results
77
-
78
- def get_most_frequent_phrase(results):
79
- phrase_counts = defaultdict(int)
80
- for words, book, chapter, verse, phrase_length, word_position in results:
81
- phrase_counts[words] += 1
82
- most_frequent_phrase = max(phrase_counts, key=phrase_counts.get) if phrase_counts else None # Handle empty results
83
- return most_frequent_phrase
84
-
85
- # --- Functions from BOS app.py ---
86
- def create_language_dropdown(label, default_value='en', show_label=True):
87
- languages = GoogleTranslator(source='en', target='en').get_supported_languages(as_dict=True)
88
- return gr.Dropdown(
89
- choices=list(languages.keys()),
90
- label=label,
91
- value=default_value,
92
- show_label=show_label
93
- )
94
-
95
- def calculate_gematria_sum(text, date_words):
96
- if text or date_words:
97
- combined_input = f"{text} {date_words}"
98
- numbers = re.findall(r'\d+', combined_input)
99
- text_without_numbers = re.sub(r'\d+', '', combined_input)
100
- number_sum = sum(int(number) for number in numbers)
101
- text_gematria = calculate_gematria(strip_diacritics(text_without_numbers))
102
- total_sum = text_gematria + number_sum
103
- return total_sum
104
  else:
105
  return None
106
 
107
- def perform_els_search(step, rounds_combination, tlang, strip_spaces, strip_in_braces, strip_diacritics_chk, merge_results, include_torah, include_bible, include_quran):
108
- if step == 0 or rounds_combination == "0,0":
109
- return None
110
-
111
- torah_results = []
112
- bible_results = []
113
- quran_results = []
114
 
115
- if include_torah:
116
- torah_results.extend(torah.process_json_files(1, 39, step, rounds_combination, 0, tlang, strip_spaces, strip_in_braces, strip_diacritics))
 
117
 
118
- if include_bible:
119
- bible_results.extend(bible.process_json_files(40, 66, step, rounds_combination, 0, tlang, strip_spaces, strip_in_braces, strip_diacritics))
120
 
121
- if include_quran:
122
- quran_results.extend(quran.process_json_files(1, 114, step, rounds_combination, 0, tlang, strip_spaces, strip_in_braces, strip_diacritics))
 
 
123
 
124
- if merge_results:
125
- results = []
126
- max_length = max(len(torah_results), len(bible_results), len(quran_results))
127
- for i in range(max_length):
128
- if i < len(torah_results):
129
- results.append(torah_results[i])
130
- if i < len(bible_results):
131
- results.append(bible_results[i])
132
- if i < len(quran_results):
133
- results.append(quran_results[i])
134
- else:
135
- results = torah_results + bible_results + quran_results
136
 
137
  return results
138
 
139
- def generate_json_dump(start, end, initial_step, rounds_combination, tlang, strip_spaces, strip_in_braces, strip_diacritics_chk, search_phrase, results_df, start_date, end_date):
140
- """Generates the JSON dump with configuration, date range, and results, including the initial step."""
141
- config = {
142
- "Start Book": start,
143
- "End Book": end,
144
- "Step": initial_step, # Use initial_step here
145
- "Rounds": rounds_combination,
146
- "Target Language": tlang,
147
- "Strip Spaces": strip_spaces,
148
- "Strip Text in Braces": strip_in_braces,
149
- "Strip Diacritics": strip_diacritics_chk,
150
- "Search Phrase": search_phrase
151
- }
152
  result = {
153
- "Configuration": config,
154
  "DateRange": {
155
  "StartDate": start_date.strftime("%Y-%m-%d"),
156
  "EndDate": end_date.strftime("%Y-%m-%d")
157
  },
158
- "Results": json.loads(results_df.to_json(orient='records', force_ascii=False))
159
  }
160
- logger.info(f"Generated JSON dump: {result}")
161
  return json.dumps(result, indent=4, ensure_ascii=False)
162
 
163
- def download_json_file(config_json, step, rounds_combination, strip_spaces, strip_in_braces, strip_diacritics_chk):
164
- """Downloads the JSON config file with a descriptive name."""
165
- filename_suffix = ""
166
- if strip_spaces:
167
- filename_suffix += "-stSp"
168
- if strip_in_braces:
169
- filename_suffix += "-stBr"
170
- if strip_diacritics_chk:
171
- filename_suffix += "-stDc"
172
- file_path = f"step-{step}-rounds-{rounds_combination}{filename_suffix}.json" # Include rounds in filename
173
- with open(file_path, "w", encoding='utf-8') as file:
174
- file.write(config_json)
175
- logger.info(f"Downloaded JSON file to: {file_path}")
176
- return file_path
177
-
178
-
179
  # --- Main Gradio App ---
180
  with gr.Blocks() as app:
181
  with gr.Row():
182
- start_date = Calendar(type="datetime", label="Start Date")
183
- end_date = Calendar(type="datetime", label="End Date")
184
-
185
- with gr.Row():
186
- tlang = create_language_dropdown("Target Language for Translation", default_value='english')
187
- date_language_input = create_language_dropdown("Language of the person/topic (optional) (Date Word Language)", default_value='english')
188
-
189
- with gr.Row():
190
- gematria_text = gr.Textbox(label="Name and/or Topic (required)", value="Hans Albert Einstein")
191
- gematria_result = gr.Number(label="Journal Sum")
192
-
193
- with gr.Row():
194
- step = gr.Number(label="Jump Width (Steps) for ELS")
195
- float_step = gr.Number(visible=False, value=1)
196
- half_step_btn = gr.Button("Steps / 2")
197
- double_step_btn = gr.Button("Steps * 2")
198
-
199
- with gr.Column():
200
- round_x = gr.Number(label="Round (1)", value=1)
201
- round_y = gr.Number(label="Round (2)", value=-1)
202
-
203
- rounds_combination = gr.Textbox(label="Combined Rounds", value="1,-1")
204
-
205
- with gr.Row():
206
- include_torah_chk = gr.Checkbox(label="Include Torah", value=True)
207
- include_bible_chk = gr.Checkbox(label="Include Bible", value=True)
208
- include_quran_chk = gr.Checkbox(label="Include Quran", value=True)
209
- merge_results_chk = gr.Checkbox(label="Merge Results (Torah-Bible-Quran)", value=True)
210
 
211
- strip_spaces = gr.Checkbox(label="Strip Spaces from Books", value=True)
212
- strip_in_braces = gr.Checkbox(label="Strip Text in Braces from Books", value=True)
213
- strip_diacritics_chk = gr.Checkbox(label="Strip Diacritics from Books", value=True)
214
-
215
- translate_btn = gr.Button("Search with ELS")
216
-
217
- # --- Output Components ---
218
- markdown_output = gr.Dataframe(label="ELS Results")
219
- most_frequent_phrase_output = gr.Textbox(label="Most Frequent Phrase in Network Search")
220
- json_output = gr.Textbox(label="JSON Configuration Output")
221
- json_download_btn = gr.Button("Prepare .json for Download")
222
- json_file = gr.File(label="Download Config JSON", file_count="single")
223
 
224
  # --- Event Handlers ---
225
- def update_journal_sum(gematria_text, date_words_output):
226
- sum_value = calculate_gematria_sum(gematria_text, date_words_output)
227
- return sum_value, sum_value, sum_value
228
-
229
- def update_rounds_combination(round_x, round_y):
230
- return f"{int(round_x)},{int(round_y)}"
231
-
232
- def update_step_half(float_step):
233
- new_step = math.ceil(float_step / 2)
234
- return new_step, float_step / 2
235
-
236
- def update_step_double(float_step):
237
- new_step = math.ceil(float_step * 2)
238
- return new_step, float_step * 2
239
-
240
- def perform_search(start_date, end_date, date_language_input, step, rounds_combination, tlang, strip_spaces, strip_in_braces, strip_diacritics_chk, merge_results, include_torah, include_bible, include_quran, gematria_text):
241
- all_results = []
242
- delta = timedelta(days=1)
243
- current_date = start_date
244
-
245
- initial_step = step # Store the initial step value
246
-
247
- while current_date <= end_date:
248
- date_words_output = translate_date_to_words(current_date, date_language_input)
249
- journal_sum, _, _ = update_journal_sum(gematria_text, date_words_output)
250
- step = journal_sum # Update step for each date
251
-
252
- els_results = perform_els_search(step, rounds_combination, tlang, strip_spaces, strip_in_braces, strip_diacritics_chk, merge_results, include_torah, include_bible, include_quran)
253
-
254
- # --- Network Search Integration ---
255
- updated_els_results = []
256
- texts_to_translate = [] # Collect texts for batch translation
257
-
258
- for result in els_results:
259
- logger.debug(f"Processing result: {result}") # Add debugging log
260
- try:
261
- gematria_sum = calculate_gematria(result['result_text'])
262
- texts_to_translate.append(result['result_text']) # Add text for translation
263
- except KeyError as e:
264
- print(f"DEBUG: KeyError - Key '{e.args[0]}' not found in result. Skipping this result.")
265
- continue
266
-
267
- max_words = len(result['result_text'].split())
268
- matching_phrases = search_gematria_in_db(gematria_sum, max_words)
269
-
270
- # Iteratively increase max_words if no results are found
271
- max_words_limit = 20 # Set a limit for max_words
272
- while not matching_phrases and max_words < max_words_limit:
273
- max_words += 1
274
- matching_phrases = search_gematria_in_db(gematria_sum, max_words)
275
-
276
- # Find most frequent phrase or first phrase with lowest word count
277
- if matching_phrases:
278
- most_frequent_phrase = get_most_frequent_phrase(matching_phrases)
279
- else:
280
- # Sort initial results by word count and take the first phrase
281
- sorted_results = sorted(search_gematria_in_db(gematria_sum, max_words_limit), key=lambda x: len(x[0].split()))
282
- most_frequent_phrase = sorted_results[0][0] if sorted_results else ""
283
-
284
- # Add most frequent phrase, date, and date_words to the result dictionary
285
- result['Most Frequent Phrase'] = most_frequent_phrase
286
- result['Date'] = current_date.strftime('%Y-%m-%d')
287
- result['Date Words'] = date_words_output
288
- updated_els_results.append(result)
289
-
290
- # --- Batch Translation ---
291
- translator = GoogleTranslator(source='auto', target=tlang)
292
- translated_texts = translator.translate_batch(texts_to_translate)
293
-
294
- # --- Add Translated Texts to Results ---
295
- for i, result in enumerate(updated_els_results):
296
- result['Translated Text'] = translated_texts[i]
297
-
298
- all_results.extend(updated_els_results)
299
- current_date += delta
300
-
301
- # --- Prepare Dataframe ---
302
- df = pd.DataFrame(all_results)
303
- df.index = range(1, len(df) + 1)
304
- df.reset_index(inplace=True)
305
- df.rename(columns={'index': 'Result Number'}, inplace=True)
306
-
307
- # Find the most frequent phrase across all dates
308
- all_phrases = [result['Most Frequent Phrase'] for result in all_results]
309
- most_frequent_phrase = max(set(all_phrases), key=all_phrases.count) if all_phrases else ""
310
-
311
- # Generate JSON output
312
- search_phrase = f"{gematria_text}" # Removed date_words_output as it's now included in each result
313
- config_json = generate_json_dump(1, 180, initial_step, rounds_combination, tlang, strip_spaces, strip_in_braces, strip_diacritics_chk, search_phrase, df, start_date, end_date)
314
-
315
- return df, most_frequent_phrase, config_json
316
-
317
- def handle_json_download(config_json, step, rounds_combination, strip_spaces, strip_in_braces, strip_diacritics_chk):
318
- """Handles the download of the JSON config file."""
319
- return download_json_file(config_json, step, rounds_combination, strip_spaces, strip_in_braces, strip_diacritics_chk)
320
-
321
 
322
  # --- Event Triggers ---
323
- round_x.change(update_rounds_combination, inputs=[round_x, round_y], outputs=rounds_combination)
324
- round_y.change(update_rounds_combination, inputs=[round_x, round_y], outputs=rounds_combination)
325
-
326
- half_step_btn.click(update_step_half, inputs=[float_step], outputs=[step, float_step])
327
- double_step_btn.click(update_step_double, inputs=[float_step], outputs=[step, float_step])
328
-
329
- translate_btn.click(
330
- perform_search,
331
- inputs=[start_date, end_date, date_language_input, step, rounds_combination, tlang, strip_spaces, strip_in_braces, strip_diacritics_chk, merge_results_chk, include_torah_chk, include_bible_chk, include_quran_chk, gematria_text],
332
- outputs=[markdown_output, most_frequent_phrase_output, json_output]
333
- )
334
-
335
- json_download_btn.click(
336
- handle_json_download,
337
- inputs=[json_output, step, rounds_combination, strip_spaces, strip_in_braces, strip_diacritics_chk],
338
- outputs=[json_file]
339
  )
340
 
341
  if __name__ == "__main__":
342
- app.launch(share=False)
 
3
  logging.basicConfig(level=logging.INFO)
4
 
5
  import gradio as gr
6
+ from utils import date_to_words
 
 
 
7
  from gematria import calculate_gematria, strip_diacritics
 
 
 
 
8
  from datetime import datetime, timedelta
 
9
  import json
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10
 
11
+ # --- Helper Functions ---
12
+ def calculate_gematria_sum(text):
13
+ if text:
14
+ text_gematria = calculate_gematria(strip_diacritics(text))
15
+ return text_gematria
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
16
  else:
17
  return None
18
 
19
+ def perform_gematria_calculation_for_date_range(start_date, end_date):
20
+ results = {}
21
+ delta = timedelta(days=1)
22
+ current_date = start_date
 
 
 
23
 
24
+ while current_date <= end_date:
25
+ date_words = date_to_words(current_date, 'english')
26
+ gematria_sum = calculate_gematria_sum(date_words)
27
 
28
+ if gematria_sum not in results:
29
+ results[gematria_sum] = []
30
 
31
+ results[gematria_sum].append({
32
+ "date": current_date.strftime('%Y-%m-%d'),
33
+ "date_words": date_words
34
+ })
35
 
36
+ current_date += delta
 
 
 
 
 
 
 
 
 
 
 
37
 
38
  return results
39
 
40
+ def generate_json_output(results, start_date, end_date):
 
 
 
 
 
 
 
 
 
 
 
 
41
  result = {
 
42
  "DateRange": {
43
  "StartDate": start_date.strftime("%Y-%m-%d"),
44
  "EndDate": end_date.strftime("%Y-%m-%d")
45
  },
46
+ "Results": results
47
  }
 
48
  return json.dumps(result, indent=4, ensure_ascii=False)
49
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
50
  # --- Main Gradio App ---
51
  with gr.Blocks() as app:
52
  with gr.Row():
53
+ start_date = gr.Calendar(type="datetime", label="Start Date")
54
+ end_date = gr.Calendar(type="datetime", label="End Date")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
55
 
56
+ calculate_btn = gr.Button("Calculate Gematria for Date Range")
57
+ json_output = gr.Textbox(label="JSON Output")
 
 
 
 
 
 
 
 
 
 
58
 
59
  # --- Event Handlers ---
60
+ def perform_calculation(start_date, end_date):
61
+ results = perform_gematria_calculation_for_date_range(start_date, end_date)
62
+ json_result = generate_json_output(results, start_date, end_date)
63
+ return json_result
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
64
 
65
  # --- Event Triggers ---
66
+ calculate_btn.click(
67
+ perform_calculation,
68
+ inputs=[start_date, end_date],
69
+ outputs=[json_output]
 
 
 
 
 
 
 
 
 
 
 
 
70
  )
71
 
72
  if __name__ == "__main__":
73
+ app.launch(share=False)