- read_TAF.py (main)
- crawler.py (for crawling data)
- preprocess.py (rearrange the raw data to the readable form)
💡
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Run the read_TAF.py at first
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Choose whether crawl the data from website or not
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Type in your CAA Account & Password
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Result will only show the airport with WX
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NOTE: MAKE SURE YOU INSTALL THE google chrome webdriver
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NOTE: The path in preprocess.py is the location of your webdriver
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Please refer the following link for webdriver resource
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Crawling data is in crawler.py webdriver resource
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Contact r07229013@ntu.edu.tw if you have any problems
graph LR
id1[read_TAF.py]--crawl data-->id2[taf.txt]--rearrange form-->id3[out2.txt]--Logic flow-->id4(RESULTS)
🚀🚀
#This is the brief flow chart of the for loop inside the code
graph TD
id1[LOOP_start]-->id2[TAF]
id1[LOOP_start]-->id3[BECMG]
id1[LOOP_start]-->id4[TEMPO]
id2-->id5[AMD/COR]
id2-->id6[TAFonly]
id5-->id7[WX]
id5-->id8[NoWX]
id7-->id9[end]
id9-->id10
id8-->id10[next line]
id6-->id7
id6-->id8
id3-->id11[intime]
id3-->id12[outtime]
id11-->id7
id12-->id8
id4-->id11
id4-->id12
id10-->id13[LOOP_next]
Done on 15, Spetember, 2022 [name=peterpan]# This Readme is for User guide