使用 Python 将部分 a.txt 文件提取到列表中

Question

I am trying to extract numerical codes from a large text file and put them into a list. These codes all start with 'gameId': followed by a space and ten numbers (eg ' gameId': 4725591545 )

Thus far this is all I have managed.

#create a variable for the path
recent_matches_index = "path/to/records/recent_matches_index.txt"

#create an empty list
game_id_list = []

#open the file, read it, recognise the id codes I
#want and append them to the empty list.
#removing the string should be easy enough later on
with open (recent_matches_index, 'rt') as my_data_file:
    for game_id in my_data_file:
        game_id = my_data_file.find("'gameId': **********")
        game_id_list.append(game_id)

#lets see if it worked
print(game_id_list)

This throws the error: AttributeError: '_io.TextIOWrapper' object has no attribute 'find'

I have tried quite a few other things but I feel like they have been very wrong.

Ideally, I think I would also like to scrub the characters out of the list and only have the numerical values. These values should remain in the order in which they occur in the file.

example of what the list might look like:

game_id_list = [8403937582, 8402849381, 9604860905]

Evidently I'm new to python so explicit answers will be greatly appreciated.

Edit: Here is an example of what is in my.txt file.

[{'leagueId': '5ae26d6d-c07a-3d29-ae0f-1ac9ca4a4f4a', 'queueType': 'RANKED_SOLO_5x5', 'tier': 'CHALLENGER', 'rank': 'I', 'summonerId': 'Sb5Y-1bZYeIItHXgNDS1U-PI0kgKF6_Wr2ZYBPqv95OKCOA', 'summonerName': 'RGE Inspired2', 'leaguePoints': 1556, 'wins': 254, 'losses': 186, 'veteran': True, 'inactive': False, 'freshBlood': False, 'hotStreak': False}, {'leagueId': '92edd520-fcf0-4e6b-b767-e3938a408d66', 'queueType': 'RANKED_FLEX_SR', 'tier': 'PLATINUM', 'rank': 'IV', 'summonerId': 'Sb5Y-1bZYeIItHXgNDS1U-PI0kgKF6_Wr2ZYBPqv95OKCOA', 'summonerName': 'RGE Inspired2', 'leaguePoints': 100, 'wins': 11, 'losses': 2, 'veteran': False, 'inactive': False, 'freshBlood': False, 'hotStreak': False, 'miniSeries': {'target': 2, 'wins': 0, 'losses': 0, 'progress': 'NNN'}}]
{'matches': [{'platformId': 'EUW1', 'gameId': 4728220480, 'champion': 121, 'queue': 420, 'season': 13, 'timestamp': 1595790394190, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4727511119, 'champion': 104, 'queue': 420, 'season': 13, 'timestamp': 1595776780604, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4727366101, 'champion': 121, 'queue': 420, 'season': 13, 'timestamp': 1595774913709, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4724700944, 'champion': 104, 'queue': 420, 'season': 13, 'timestamp': 1595632344294, 'role': 'DUO_SUPPORT', 'lane': 'NONE'}, {'platformId': 'EUW1', 'gameId': 4724662512, 'champion': 163, 'queue': 420, 'season': 13, 'timestamp': 1595629227345, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4724497303, 'champion': 203, 'queue': 420, 'season': 13, 'timestamp': 1595627065458, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4722652071, 'champion': 104, 'queue': 420, 'season': 13, 'timestamp': 1595530253160, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4709654115, 'champion': 875, 'queue': 420, 'season': 13, 'timestamp': 1594854382037, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4709546735, 'champion': 113, 'queue': 420, 'season': 13, 'timestamp': 1594850792558, 'role': 'DUO_SUPPORT', 'lane': 'TOP'}, {'platformId': 'EUW1', 'gameId': 4706883023, 'champion': 121, 'queue': 420, 'season': 13, 'timestamp': 1594723475884, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4703718275, 'champion': 121, 'queue': 420, 'season': 13, 'timestamp': 1594551535462, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4703411360, 'champion': 245, 'queue': 420, 'season': 13, 'timestamp': 1594509687989, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4703403465, 'champion': 245, 'queue': 420, 'season': 13, 'timestamp': 1594506333259, 'role': 'NONE', 'lane': 'JUNGLE'},

Answer 1

Okay as you did not provide a file example at first I was thinking of a txt file so this was my first solution:

txt = """
Lorem ipsum 'gameId': 4725591545 Lorem ipsum dolor sit amet
,  'gameId': 5725591546 consetetur sadipscing elitr,
'gameId': 6725591547 sed diam
"""

output = []
start_pos = txt.find("'gameId': ") + len("'gameId': ")

if txt.find("'gameId': ") != -1:
    while True:
        output.append(txt[start_pos:start_pos + 10])
        if txt[start_pos:].find("'gameId': ") != -1:
            start_pos += txt[start_pos:].find("'gameId': ") + len("'gameId': ")
        else:
            break

print(output)
# ['4725591545', '5725591546', '6725591547']

But then you edited your question with an example (btw a really bad example cause there are missing brackets and commas) which is not a valid json format because of the ' instead of " . So I had to modify your example a little bit. And this could be a solution:

import json

txt2 = """{'matches': [{'platformId': 'EUW1', 'gameId': 4728220480, 'champion': 121, 'queue': 420, 'season': 13, 'timestamp': 1595790394190, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4727511119, 'champion': 104, 'queue': 420, 'season': 13, 'timestamp': 1595776780604, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4727366101, 'champion': 121, 'queue': 420, 'season': 13, 'timestamp': 1595774913709, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4724700944, 'champion': 104, 'queue': 420, 'season': 13, 'timestamp': 1595632344294, 'role': 'DUO_SUPPORT', 'lane': 'NONE'}, {'platformId': 'EUW1', 'gameId': 4724662512, 'champion': 163, 'queue': 420, 'season': 13, 'timestamp': 1595629227345, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4724497303, 'champion': 203, 'queue': 420, 'season': 13, 'timestamp': 1595627065458, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4722652071, 'champion': 104, 'queue': 420, 'season': 13, 'timestamp': 1595530253160, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4709654115, 'champion': 875, 'queue': 420, 'season': 13, 'timestamp': 1594854382037, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4709546735, 'champion': 113, 'queue': 420, 'season': 13, 'timestamp': 1594850792558, 'role': 'DUO_SUPPORT', 'lane': 'TOP'}, {'platformId': 'EUW1', 'gameId': 4706883023, 'champion': 121, 'queue': 420, 'season': 13, 'timestamp': 1594723475884, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4703718275, 'champion': 121, 'queue': 420, 'season': 13, 'timestamp': 1594551535462, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4703411360, 'champion': 245, 'queue': 420, 'season': 13, 'timestamp': 1594509687989, 'role': 'NONE', 'lane': 'JUNGLE'}, {'platformId': 'EUW1', 'gameId': 4703403465, 'champion': 245, 'queue': 420, 'season': 13, 'timestamp': 1594506333259, 'role': 'NONE', 'lane': 'JUNGLE'}]}"""

txt = json.loads(txt2.replace("'", '"'))
output = [x["gameId"] for x in txt["matches"]]
print(output)
# [4728220480, 4727511119, 4727366101, 4724700944, 4724662512, 4724497303, 4722652071, 4709654115, 4709546735, 4706883023, 4703718275, 4703411360, 4703403465]

Instead of using a string like I did you can use it with a file. If your example is really what was saved in the file, then you may have to tidy up your string at first.

EDIT

As you wrote you put your json content into a file and to use my example with txt2 = Path/To/File this will not work. the json modul works with json strings so what you have to do is to make the txt2 variable a json string. So you first have to open the file and then read the content. Then you have the json string the module can work with. Try this one:

with open("path/to/myTestFile", "r") as f:
    txt2 = f.read()

As we open the file with the with statement we dont need to close it later on.