backend deploymemt

Dockerfile

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+# Use Python 3.11 as the base image
+FROM python:3.11
+
+# Set the working directory inside the container
+WORKDIR /app
+
+# Copy all project files into the container
+COPY . /app
+
+# Install dependencies
+# RUN pip install --upgrade pip
+RUN pip install -r requirement.txt
+
+# Expose the required port (Hugging Face Spaces uses 7860)
+EXPOSE 8000
+
+# Ensure logs directory exists
+RUN mkdir -p /app/logs && chmod -R 777 /app/logs
+
+# Install tmux to run multiple processes
+# RUN apt-get update && apt-get install -y tmux
+
+# Start FastAPI & Streamlit together using tmux
+# CMD ["sh", "-c", "tmux new-session -d -s fastapi 'uvicorn backend.main:app --host 0.0.0.0 --port 7860' && streamlit run Frontend/app.py --server.port 7860 --server.address 0.0.0.0"]
+
+# CMD ["sh", "-c", "uvicorn backend.main:app --host 0.0.0.0 --port 8000 & sleep 5 && streamlit run Frontend/app.py --server.port 7860 --server.address 0.0.0.0"]
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

README.md

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+---
+title: Population FastAPI
+emoji: ⚡
+colorFrom: yellow
+colorTo: gray
+sdk: docker
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

data/world_population.csv

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+Country,Capital,Continent,Population,Area
+China,Beijing,Asia,1425887337,9706961
+India,New Delhi,Asia,1417173173,3287590
+United States,"Washington, D.C.",North America,338289857,9372610
+Indonesia,Jakarta,Asia,275501339,1904569
+Pakistan,Islamabad,Asia,235824862,881912
+Nigeria,Abuja,Africa,218541212,923768
+Brazil,Brasilia,South America,215313498,8515767
+Bangladesh,Dhaka,Asia,171186372,147570
+Russia,Moscow,Europe,144713314,17098242
+Mexico,Mexico City,North America,127504125,1964375
+Japan,Tokyo,Asia,123951692,377930
+Ethiopia,Addis Ababa,Africa,123379924,1104300
+Philippines,Manila,Asia,115559009,342353
+Egypt,Cairo,Africa,110990103,1002450
+DR Congo,Kinshasa,Africa,99010212,2344858
+Vietnam,Hanoi,Asia,98186856,331212
+Iran,Tehran,Asia,88550570,1648195
+Turkey,Ankara,Asia,85341241,783562
+Germany,Berlin,Europe,83369843,357114
+Thailand,Bangkok,Asia,71697030,513120
+United Kingdom,London,Europe,67508936,242900
+Tanzania,Dodoma,Africa,65497748,945087
+France,Paris,Europe,64626628,551695
+South Africa,Pretoria,Africa,59893885,1221037
+Italy,Rome,Europe,59037474,301336
+Myanmar,Nay Pyi Taw,Asia,54179306,676578
+Kenya,Nairobi,Africa,54027487,580367
+Colombia,Bogota,South America,51874024,1141748
+South Korea,Seoul,Asia,51815810,100210
+Spain,Madrid,Europe,47558630,505992
+Uganda,Kampala,Africa,47249585,241550
+Sudan,Khartoum,Africa,46874204,1886068
+Argentina,Buenos Aires,South America,45510318,2780400
+Algeria,Algiers,Africa,44903225,2381741
+Iraq,Baghdad,Asia,44496122,438317
+Afghanistan,Kabul,Asia,41128771,652230
+Poland,Warsaw,Europe,39857145,312679
+Ukraine,Kiev,Europe,39701739,603500
+Canada,Ottawa,North America,38454327,9984670
+Morocco,Rabat,Africa,37457971,446550
+Saudi Arabia,Riyadh,Asia,36408820,2149690
+Angola,Luanda,Africa,35588987,1246700
+Uzbekistan,Tashkent,Asia,34627652,447400
+Peru,Lima,South America,34049588,1285216
+Malaysia,Kuala Lumpur,Asia,33938221,330803
+Yemen,Sanaa,Asia,33696614,527968
+Ghana,Accra,Africa,33475870,238533
+Mozambique,Maputo,Africa,32969517,801590
+Nepal,Kathmandu,Asia,30547580,147181
+Madagascar,Antananarivo,Africa,29611714,587041
+Venezuela,Caracas,South America,28301696,916445
+Ivory Coast,Yamoussoukro,Africa,28160542,322463
+Cameroon,Yaounde,Africa,27914536,475442
+Niger,Niamey,Africa,26207977,1267000
+Australia,Canberra,Oceania,26177413,7692024
+North Korea,Pyongyang,Asia,26069416,120538
+Taiwan,Taipei,Asia,23893394,36193
+Burkina Faso,Ouagadougou,Africa,22673762,272967
+Mali,Bamako,Africa,22593590,1240192
+Syria,Damascus,Asia,22125249,185180
+Sri Lanka,Colombo,Asia,21832143,65610
+Malawi,Lilongwe,Africa,20405317,118484
+Zambia,Lusaka,Africa,20017675,752612
+Romania,Bucharest,Europe,19659267,238391
+Chile,Santiago,South America,19603733,756102
+Kazakhstan,Nursultan,Asia,19397998,2724900
+Ecuador,Quito,South America,18001000,276841
+Guatemala,Guatemala City,North America,17843908,108889
+Chad,N'Djamena,Africa,17723315,1284000
+Somalia,Mogadishu,Africa,17597511,637657
+Netherlands,Amsterdam,Europe,17564014,41850
+Senegal,Dakar,Africa,17316449,196722
+Cambodia,Phnom Penh,Asia,16767842,181035
+Zimbabwe,Harare,Africa,16320537,390757
+Guinea,Conakry,Africa,13859341,245857
+Rwanda,Kigali,Africa,13776698,26338
+Benin,Porto-Novo,Africa,13352864,112622
+Burundi,Bujumbura,Africa,12889576,27834
+Tunisia,Tunis,Africa,12356117,163610
+Bolivia,Sucre,South America,12224110,1098581
+Belgium,Brussels,Europe,11655930,30528
+Haiti,Port-au-Prince,North America,11584996,27750
+Jordan,Amman,Asia,11285869,89342
+Dominican Republic,Santo Domingo,North America,11228821,48671
+Cuba,Havana,North America,11212191,109884
+South Sudan,Juba,Africa,10913164,619745
+Sweden,Stockholm,Europe,10549347,450295
+Czech Republic,Prague,Europe,10493986,78865
+Honduras,Tegucigalpa,North America,10432860,112492
+Greece,Athens,Europe,10384971,131990
+Azerbaijan,Baku,Asia,10358074,86600
+Portugal,Lisbon,Europe,10270865,92090
+Papua New Guinea,Port Moresby,Oceania,10142619,462840
+Hungary,Budapest,Europe,9967308,93028
+Tajikistan,Dushanbe,Asia,9952787,143100
+Belarus,Minsk,Europe,9534954,207600
+United Arab Emirates,Abu Dhabi,Asia,9441129,83600
+Israel,Jerusalem,Asia,9038309,20770
+Austria,Vienna,Europe,8939617,83871
+Togo,Lomé,Africa,8848699,56785
+Switzerland,Bern,Europe,8740472,41284
+Sierra Leone,Freetown,Africa,8605718,71740
+Laos,Vientiane,Asia,7529475,236800
+Hong Kong,Hong Kong,Asia,7488865,1104
+Serbia,Belgrade,Europe,7221365,88361
+Nicaragua,Managua,North America,6948392,130373
+Libya,Tripoli,Africa,6812341,1759540
+Bulgaria,Sofia,Europe,6781953,110879
+Paraguay,Asunción,South America,6780744,406752
+Kyrgyzstan,Bishkek,Asia,6630623,199951
+Turkmenistan,Ashgabat,Asia,6430770,488100
+El Salvador,San Salvador,North America,6336392,21041
+Singapore,Singapore,Asia,5975689,710
+Republic of the Congo,Brazzaville,Africa,5970424,342000
+Denmark,Copenhagen,Europe,5882261,43094
+Slovakia,Bratislava,Europe,5643453,49037
+Central African Republic,Bangui,Africa,5579144,622984
+Finland,Helsinki,Europe,5540745,338424
+Lebanon,Beirut,Asia,5489739,10452
+Norway,Oslo,Europe,5434319,323802
+Liberia,Monrovia,Africa,5302681,111369
+Palestine,Ramallah,Asia,5250072,6220
+New Zealand,Wellington,Oceania,5185288,270467
+Costa Rica,San José,North America,5180829,51100
+Ireland,Dublin,Europe,5023109,70273
+Mauritania,Nouakchott,Africa,4736139,1030700
+Oman,Muscat,Asia,4576298,309500
+Panama,Panama City,North America,4408581,75417
+Kuwait,Kuwait City,Asia,4268873,17818
+Croatia,Zagreb,Europe,4030358,56594
+Georgia,Tbilisi,Asia,3744385,69700
+Eritrea,Asmara,Africa,3684032,117600
+Uruguay,Montevideo,South America,3422794,181034
+Mongolia,Ulaanbaatar,Asia,3398366,1564110
+Moldova,Chisinau,Europe,3272996,33846
+Puerto Rico,San Juan,North America,3252407,8870
+Bosnia and Herzegovina,Sarajevo,Europe,3233526,51209
+Albania,Tirana,Europe,2842321,28748
+Jamaica,Kingston,North America,2827377,10991
+Armenia,Yerevan,Asia,2780469,29743
+Lithuania,Vilnius,Europe,2750055,65300
+Gambia,Banjul,Africa,2705992,10689
+Qatar,Doha,Asia,2695122,11586
+Botswana,Gaborone,Africa,2630296,582000
+Namibia,Windhoek,Africa,2567012,825615
+Gabon,Libreville,Africa,2388992,267668
+Lesotho,Maseru,Africa,2305825,30355
+Slovenia,Ljubljana,Europe,2119844,20273
+Guinea-Bissau,Bissau,Africa,2105566,36125
+North Macedonia,Skopje,Europe,2093599,25713
+Latvia,Riga,Europe,1850651,64559
+Equatorial Guinea,Malabo,Africa,1674908,28051
+Trinidad and Tobago,Port-of-Spain,North America,1531044,5130
+Bahrain,Manama,Asia,1472233,765
+Timor-Leste,Dili,Asia,1341296,14874
+Estonia,Tallinn,Europe,1326062,45227
+Mauritius,Port Louis,Africa,1299469,2040
+Cyprus,Nicosia,Europe,1251488,9251
+Eswatini,Mbabane,Africa,1201670,17364
+Djibouti,Djibouti,Africa,1120849,23200
+Reunion,Saint-Denis,Africa,974052,2511
+Fiji,Suva,Oceania,929766,18272
+Comoros,Moroni,Africa,836774,1862
+Guyana,Georgetown,South America,808726,214969
+Bhutan,Thimphu,Asia,782455,38394
+Solomon Islands,Honiara,Oceania,724273,28896
+Macau,Concelho de Macau,Asia,695168,30
+Luxembourg,Luxembourg,Europe,647599,2586
+Montenegro,Podgorica,Europe,627082,13812
+Suriname,Paramaribo,South America,618040,163820
+Cape Verde,Praia,Africa,593149,4033
+Western Sahara,El Aaiún,Africa,575986,266000
+Malta,Valletta,Europe,533286,316
+Maldives,Malé,Asia,523787,300
+Brunei,Bandar Seri Begawan,Asia,449002,5765
+Bahamas,Nassau,North America,409984,13943
+Belize,Belmopan,North America,405272,22966
+Guadeloupe,Basse-Terre,North America,395752,1628
+Iceland,Reykjavík,Europe,372899,103000
+Martinique,Fort-de-France,North America,367507,1128
+Vanuatu,Port-Vila,Oceania,326740,12189
+Mayotte,Mamoudzou,Africa,326101,374
+French Polynesia,Papeete,Oceania,306279,4167
+French Guiana,Cayenne,South America,304557,83534
+New Caledonia,Nouméa,Oceania,289950,18575
+Barbados,Bridgetown,North America,281635,430
+Sao Tome and Principe,São Tomé,Africa,227380,964
+Samoa,Apia,Oceania,222382,2842
+Curacao,Willemstad,North America,191163,444
+Saint Lucia,Castries,North America,179857,616
+Guam,Hagåtña,Oceania,171774,549
+Kiribati,Tarawa,Oceania,131232,811
+Grenada,Saint George's,North America,125438,344
+Micronesia,Palikir,Oceania,114164,702
+Jersey,Saint Helier,Europe,110778,116
+Seychelles,Victoria,Africa,107118,452
+Tonga,Nuku‘alofa,Oceania,106858,747
+Aruba,Oranjestad,North America,106445,180
+Saint Vincent and the Grenadines,Kingstown,North America,103948,389
+United States Virgin Islands,Charlotte Amalie,North America,99465,347
+Antigua and Barbuda,Saint John’s,North America,93763,442
+Isle of Man,Douglas,Europe,84519,572
+Andorra,Andorra la Vella,Europe,79824,468
+Dominica,Roseau,North America,72737,751
+Cayman Islands,George Town,North America,68706,264
+Bermuda,Hamilton,North America,64184,54
+Guernsey,Saint Peter Port,Europe,63301,78
+Greenland,Nuuk,North America,56466,2166086
+Faroe Islands,Tórshavn,Europe,53090,1393
+Northern Mariana Islands,Saipan,Oceania,49551,464
+Saint Kitts and Nevis,Basseterre,North America,47657,261
+Turks and Caicos Islands,Cockburn Town,North America,45703,948
+American Samoa,Pago Pago,Oceania,44273,199
+Sint Maarten,Philipsburg,North America,44175,34
+Marshall Islands,Majuro,Oceania,41569,181
+Liechtenstein,Vaduz,Europe,39327,160
+Monaco,Monaco,Europe,36469,2
+San Marino,San Marino,Europe,33660,61
+Gibraltar,Gibraltar,Europe,32649,6
+Saint Martin,Marigot,North America,31791,53
+British Virgin Islands,Road Town,North America,31305,151
+Palau,Ngerulmud,Oceania,18055,459
+Cook Islands,Avarua,Oceania,17011,236
+Anguilla,The Valley,North America,15857,91
+Nauru,Yaren,Oceania,12668,21
+Wallis and Futuna,Mata-Utu,Oceania,11572,142
+Tuvalu,Funafuti,Oceania,11312,26
+Saint Barthelemy,Gustavia,North America,10967,21
+Saint Pierre and Miquelon,Saint-Pierre,North America,5862,242
+Montserrat,Brades,North America,4390,102
+Falkland Islands,Stanley,South America,3780,12173
+Niue,Alofi,Oceania,1934,260
+Tokelau,Nukunonu,Oceania,1871,12
+Vatican City,Vatican City,Europe,510,1

logger.py

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+import logging
+import os
+
+# Define absolute path for logs
+LOG_DIR = "/app/logs"
+LOG_FILE = os.path.join(LOG_DIR, "backend.log")
+
+# Ensure the logs directory exists
+os.makedirs(LOG_DIR, exist_ok=True)
+
+# Configure logging settings
+logging.basicConfig(
+    format="%(asctime)s - %(levelname)s - %(message)s",
+    level=logging.INFO,
+    handlers=[
+        logging.FileHandler(LOG_FILE),  # Use absolute path
+        logging.StreamHandler()  # Print logs to the console
+    ]
+)
+
+logger = logging.getLogger(__name__)
+
+if __name__ == "__main__":
+    logger.info("Logger is set up correctly!")

logs/backend.log

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+2025-02-08 15:52:40,867 - INFO - CSV file loaded successfully.
+2025-02-08 15:52:40,919 - INFO - Data processing completed.
+2025-02-08 15:52:40,973 - INFO - Starting FastAPI application...
+2025-02-08 15:52:41,034 - INFO - Will watch for changes in these directories: ['C:\\chitu\\population_api\\backend']
+2025-02-08 15:52:41,047 - INFO - Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
+2025-02-08 15:52:41,055 - INFO - Started reloader process [9064] using WatchFiles
+2025-02-08 15:52:49,238 - INFO - CSV file loaded successfully.
+2025-02-08 15:52:49,304 - INFO - Data processing completed.
+2025-02-08 15:52:49,383 - INFO - Starting FastAPI application...
+2025-02-08 15:52:49,388 - INFO - Started server process [2244]
+2025-02-08 15:52:49,430 - INFO - Waiting for application startup.
+2025-02-08 15:52:49,440 - INFO - Application startup complete.
+2025-02-08 15:53:03,119 - INFO - 1 change detected
+2025-02-08 15:53:09,390 - INFO - 1 change detected
+2025-02-08 15:53:09,780 - INFO - 1 change detected
+2025-02-08 15:53:10,147 - INFO - 1 change detected
+2025-02-08 15:53:10,518 - INFO - 1 change detected
+2025-02-08 15:53:10,886 - INFO - 1 change detected
+2025-02-08 15:53:11,253 - INFO - 1 change detected
+2025-02-08 15:53:11,608 - INFO - 1 change detected
+2025-02-08 15:53:11,965 - INFO - 1 change detected
+2025-02-08 15:53:12,376 - INFO - 1 change detected
+2025-02-08 15:53:12,742 - INFO - 1 change detected
+2025-02-08 15:53:13,104 - INFO - 1 change detected
+2025-02-08 15:53:13,464 - INFO - 1 change detected
+2025-02-08 15:53:13,822 - INFO - 1 change detected
+2025-02-08 15:53:14,181 - INFO - 1 change detected
+2025-02-08 15:53:14,539 - INFO - 1 change detected
+2025-02-08 15:53:14,898 - INFO - 1 change detected
+2025-02-08 15:53:15,255 - INFO - 1 change detected
+2025-02-08 15:53:15,452 - INFO - Shutting down
+2025-02-08 15:53:15,563 - INFO - Waiting for application shutdown.
+2025-02-08 15:53:15,568 - INFO - Application shutdown complete.
+2025-02-08 15:53:15,573 - INFO - Finished server process [2244]
+2025-02-08 15:53:16,005 - INFO - Stopping reloader process [9064]
+2025-02-08 15:54:14,638 - INFO - CSV file loaded successfully.
+2025-02-08 15:54:14,686 - INFO - Data processing completed.
+2025-02-08 15:54:14,739 - INFO - Starting FastAPI application...
+2025-02-08 15:54:14,823 - INFO - Will watch for changes in these directories: ['C:\\chitu\\population_api\\backend']
+2025-02-08 15:54:14,834 - INFO - Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
+2025-02-08 15:54:14,845 - INFO - Started reloader process [2996] using WatchFiles
+2025-02-08 15:54:21,431 - INFO - CSV file loaded successfully.
+2025-02-08 15:54:21,479 - INFO - Data processing completed.
+2025-02-08 15:54:21,534 - INFO - Starting FastAPI application...
+2025-02-08 15:54:21,537 - INFO - Started server process [3292]
+2025-02-08 15:54:21,552 - INFO - Waiting for application startup.
+2025-02-08 15:54:21,558 - INFO - Application startup complete.
+2025-02-08 15:54:57,859 - INFO - Home endpoint accessed
+2025-02-08 15:55:30,302 - INFO - Fetching all continents
+2025-02-08 15:55:30,303 - INFO - Fetching all continents.
+2025-02-08 15:55:30,335 - INFO - Fetching statistics for continent: Africa, stat: None
+2025-02-08 15:55:30,337 - INFO - Fetching data for continent: Africa
+2025-02-08 15:55:30,344 - INFO - Successfully fetched data for Africa
+2025-02-08 15:56:58,310 - INFO - Fetching all continents
+2025-02-08 15:56:58,312 - INFO - Fetching all continents.
+2025-02-08 15:57:05,106 - INFO - Fetching statistics for continent: Asia, stat: None
+2025-02-08 15:57:05,109 - INFO - Fetching data for continent: Asia
+2025-02-08 15:57:05,120 - INFO - Successfully fetched data for Asia
+2025-02-08 15:57:13,566 - INFO - Fetching statistics for continent: Asia, stat: Total_Countries
+2025-02-08 15:57:13,568 - INFO - Fetching data for continent: Asia
+2025-02-08 15:57:13,572 - INFO - Returning stat Total_Countries for Asia
+2025-02-08 16:04:49,364 - INFO - CSV file loaded successfully.
+2025-02-08 16:04:49,413 - INFO - Data processing completed.
+2025-02-08 16:04:49,479 - INFO - Starting FastAPI application...
+2025-02-08 16:04:49,570 - INFO - Will watch for changes in these directories: ['C:\\chitu\\population_api\\backend']
+2025-02-08 16:04:49,580 - INFO - Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
+2025-02-08 16:04:49,588 - INFO - Started reloader process [1920] using WatchFiles
+2025-02-08 16:04:58,531 - INFO - CSV file loaded successfully.
+2025-02-08 16:04:58,593 - INFO - Data processing completed.
+2025-02-08 16:04:58,665 - INFO - Starting FastAPI application...
+2025-02-08 16:04:58,669 - INFO - Started server process [5408]
+2025-02-08 16:04:58,687 - INFO - Waiting for application startup.
+2025-02-08 16:04:58,696 - INFO - Application startup complete.
+2025-02-08 16:05:22,393 - INFO - Fetching all continents
+2025-02-08 16:05:22,395 - INFO - Fetching all continents.
+2025-02-08 16:05:22,424 - INFO - Fetching statistics for continent: Africa, stat: None
+2025-02-08 16:05:22,427 - INFO - Fetching data for continent: Africa
+2025-02-08 16:05:22,439 - INFO - Successfully fetched data for Africa
+2025-02-08 16:05:27,302 - INFO - Fetching all continents
+2025-02-08 16:05:27,304 - INFO - Fetching all continents.
+2025-02-08 16:05:27,329 - INFO - Fetching statistics for continent: Europe, stat: None
+2025-02-08 16:05:27,331 - INFO - Fetching data for continent: Europe
+2025-02-08 16:05:27,339 - INFO - Successfully fetched data for Europe
+2025-02-08 16:05:33,341 - INFO - Fetching all continents
+2025-02-08 16:05:33,342 - INFO - Fetching all continents.
+2025-02-08 16:05:33,369 - INFO - Fetching statistics for continent: Africa, stat: None
+2025-02-08 16:05:33,371 - INFO - Fetching data for continent: Africa
+2025-02-08 16:05:33,377 - INFO - Successfully fetched data for Africa
+2025-02-08 16:08:30,755 - INFO - Fetching all continents
+2025-02-08 16:08:30,757 - INFO - Fetching all continents.
+2025-02-08 16:08:30,791 - INFO - Fetching statistics for continent: Africa, stat: None
+2025-02-08 16:08:30,795 - INFO - Fetching data for continent: Africa
+2025-02-08 16:08:30,803 - INFO - Successfully fetched data for Africa
+2025-02-08 16:08:37,230 - INFO - Fetching all continents
+2025-02-08 16:08:37,232 - INFO - Fetching all continents.
+2025-02-08 16:08:37,261 - INFO - Fetching statistics for continent: Africa, stat: None
+2025-02-08 16:08:37,264 - INFO - Fetching data for continent: Africa
+2025-02-08 16:08:37,270 - INFO - Successfully fetched data for Africa
+2025-02-08 16:10:16,115 - INFO - Shutting down
+2025-02-08 16:10:16,226 - INFO - Waiting for application shutdown.
+2025-02-08 16:10:16,231 - INFO - Application shutdown complete.
+2025-02-08 16:10:16,236 - INFO - Finished server process [5408]
+2025-02-08 16:10:16,671 - INFO - Stopping reloader process [1920]
+2025-02-10 11:52:37,019 - INFO - CSV file loaded successfully.
+2025-02-10 11:52:37,108 - INFO - Data processing completed.
+2025-02-10 11:52:37,176 - INFO - Starting FastAPI application...
+2025-02-10 11:52:37,381 - INFO - Will watch for changes in these directories: ['C:\\chitu\\population_api\\backend']
+2025-02-10 11:52:37,399 - ERROR - [WinError 10013] An attempt was made to access a socket in a way forbidden by its access permissions
+2025-02-10 11:56:24,383 - INFO - CSV file loaded successfully.
+2025-02-10 11:56:24,468 - INFO - Data processing completed.
+2025-02-10 11:56:24,560 - INFO - Starting FastAPI application...
+2025-02-10 11:56:24,731 - INFO - Will watch for changes in these directories: ['C:\\chitu\\population_api\\backend']
+2025-02-10 11:56:24,754 - ERROR - [WinError 10013] An attempt was made to access a socket in a way forbidden by its access permissions

main.py

@@ -0,0 +1,16 @@
+from fastapi import FastAPI
+from backend.routes.continents import router
+from backend.logger import logger
+from backend.routes.continents import router
+
+app = FastAPI()
+
+# Include API routes
+app.include_router(router)
+
+logger.info("Starting FastAPI application...")
+
+@app.get("/")
+def home():
+    logger.info("Home endpoint accessed")
+    return {"message": "Welcome to the World Population API"}

models/population_models.py

@@ -0,0 +1,28 @@
+from pydantic import BaseModel, Field
+from typing import List, Union
+
+class ContinentBase(BaseModel):
+    continent: str = Field(..., title="Continent Name", example="Asia")
+
+class ContinentStats(BaseModel):
+    Total_Countries: int = Field(..., title="Total Number of Countries", example=48)
+    Total_Population: int = Field(..., title="Total Population", example=4600000000)
+    Average_Population: float = Field(..., title="Average Population Per Country", example=96000000)
+    Total_Area: int = Field(..., title="Total Land Area (sq km)", example=44679000)
+    max_population: int = Field(..., title="Highest Country Population", example=1400000000)
+    min_population: int = Field(..., title="Lowest Country Population", example=100000)
+    Country_Max_Population: str = Field(..., title="Country with Highest Population", example="China")
+    Country_Min_Population: str = Field(..., title="Country with Lowest Population", example="Maldives")
+    Population_Density: float = Field(..., title="Population Density (people/sq km)", example=103)
+
+class ContinentResponse(BaseModel):
+    continent: str = Field(..., title="Continent Name", example="Asia")
+    statistics: ContinentStats
+
+class ContinentsListResponse(BaseModel):
+    continents: List[str] = Field(..., title="List of Continents", example=["Asia", "Europe", "Africa"])
+
+class StatResponse(BaseModel):
+    stat: str = Field(..., title="Statistic Name", example="Total Population")
+    value: Union[str, int, float] = Field(..., title="Statistic Value", example=4600000000)
+

routes/continents.py

@@ -0,0 +1,34 @@
+from fastapi import APIRouter, HTTPException
+from backend.service.population_pandas import get_continents, get_continent_data
+from backend.models.population_models import ContinentResponse, ContinentsListResponse, StatResponse
+from backend.logger import logger  # Import the logger
+
+router = APIRouter()
+
+@router.get("/continents/", response_model=ContinentsListResponse)
+def get_all_continents():
+    """Fetch the list of all continents."""
+    logger.info("Fetching all continents")
+    return {"continents": get_continents()}
+
+@router.get("/continents/{continent}/", response_model=ContinentResponse | StatResponse)
+def get_continent_stats(continent: str, stat: str = None):
+    """Fetch statistics for a specific continent."""
+    logger.info(f"Fetching statistics for continent: {continent}, stat: {stat}")
+
+    continent_data = get_continent_data(continent)
+
+    if not continent_data:
+        logger.error(f"Continent not found: {continent}")
+        raise HTTPException(status_code=404, detail="Continent not found")
+
+    if stat:
+        if stat in continent_data:
+            logger.info(f"Returning stat {stat} for {continent}")
+            return {"stat": stat, "value": continent_data[stat]}
+        else:
+            logger.warning(f"Invalid stat requested: {stat}")
+            raise HTTPException(status_code=400, detail="Invalid statistic requested")
+
+    logger.info(f"Successfully fetched data for {continent}")
+    return {"continent": continent, "statistics": continent_data}

service/population_pandas.py

@@ -0,0 +1,55 @@
+import pandas as pd
+# from backend.population_pandas import get_continents, get_continent_data
+from backend.logger import logger
+
+import os
+
+# file_path = os.path.join(os.path.dirname(__file__), "../../data/world_population.csv")
+file_path = os.path.join(os.path.dirname(__file__), "../data/world_population.csv")
+# file_path = os.path.abspath(file_path)  # Convert to absolute path
+
+file_path = os.path.abspath(file_path)  # Convert to absolute path
+try:
+    df = pd.read_csv(file_path)
+    logger.info(f"CSV file loaded successfully from: {file_path}")
+except Exception as e:
+    logger.error(f"Error loading CSV file from {file_path}: {e}")
+    df = None  # Prevent NameError if file loading fails
+
+if df is not None:
+    # Perform the aggregations only if df is successfully loaded
+    continent_stats = df.groupby("Continent").agg(
+        Total_Countries=('Country', 'count'),
+        Total_Population=('Population', 'sum'),
+        Average_Population=('Population', 'mean'),
+        Total_Area=('Area', 'sum'),
+        max_population=('Population', 'max'),
+        min_population=('Population', 'min'),
+        Country_Max_Population=('Population', lambda x: df.loc[x.idxmax(), 'Country']),
+        Country_Min_Population=('Population', lambda x: df.loc[x.idxmin(), 'Country'])
+    ).reset_index()
+
+    # Compute Population Density
+    continent_stats["Population_Density"] = (
+        continent_stats["Total_Population"] / continent_stats["Total_Area"]
+    )
+
+    logger.info("Data processing completed.")
+
+def get_continents():
+    """Returns a list of all continents."""
+    logger.info("Fetching all continents.")
+    return continent_stats["Continent"].tolist()
+
+def get_continent_data(continent):
+    """Returns statistics for a specific continent."""
+    logger.info(f"Fetching data for continent: {continent}")
+    result = continent_stats[continent_stats["Continent"] == continent].squeeze()
+
+    if result.empty:
+        logger.warning(f"No data found for continent: {continent}")
+        return {}
+
+    return result.to_dict()
+
+