The main task of this project is to convert some logs in one excel files.
I need a python script to run every day over some csv logs.
The log files input will be in these folders
/MarketReports
/dd_mm_yyyy
/Logs
/MatchedBets
/ProfitAndLoss
Please set a variable in python that i can change, that refer to path of /MarketReports, so i need to run over different path is possible to do that
path = "./MarketReports/"
exportPath = "./ExportReport/"
The proposes is to merge the log with the same name and generate some rows in the excel SPORT REPORT_dd_mm_yyyy_hh_mm.xlsx with the date and time when the scripts has been launched.
After the scripts run, I need all the market found in the logs folder with AT LEAST one matched bet to be in the excel
Is so important to maintain the structure of the excel, the columns where place the data and the format of the excel. SPORT REPORT.xlsx are here as example
First of all you need to look up over every folder
/dd_mm_yyyy
/Logs
/MatchedBets
/ProfitAndLoss
and match the files, as example we have
/10_02_2022
/Logs
Log_10_02_2022_Sasnovich v Cristian - Match Odds.csv
/MatchedBets
MatchedBetsReport_10_02_2022_Sasnovich v Cristian - Match Odds.csv
/ProfitAndLoss
ProfitLossReport_10_02_2022_Sasnovich v Cristian - Match Odds.csv
That 3 file logs the same match.
after that ONLY IF "MatchedBetsReport" have some row, like this:
Time, Selection, Profit If Win, Profit If Lose
15:29:45,Aliaksandra Sasnovich,-2.50,0.00
15:29:45,Jaqueline Cristian,45.75,0.00
so the market must be added in the excel.
If the file are like that:
Time, Selection, Profit If Win, Profit If Lose
We just skip that market.
NOTE: File that present this in the name: Log_11_02_2022_Market Closed (x.xxxxxxxxx) must be skipped.
For the market above we need to add a row in the excel.
Taking always as reference
/10_02_2022
/Logs
Log_10_02_2022_Sasnovich v Cristian - Match Odds.csv
/MatchedBets
MatchedBetsReport_10_02_2022_Sasnovich v Cristian - Match Odds.csv
/ProfitAndLoss
ProfitLossReport_10_02_2022_Sasnovich v Cristian - Match Odds.csv
Form "Log_10_02_2022_Sasnovich v Cristian - Match Odds.csv"
We create a row live that:
Were we have note that always have these data:
2/10/2022 14:21:58: [G_Auto 2] : Store Text Value (Shared) for Aliaksandra Sasnovich: info = marketName: Sasnovich v Cristian - Match Odds; runnerA: Aliaksandra Sasnovich; runnerB: Jaqueline Cristian
And these row
2/10/2022 14:21:58: [G_Auto 2] : Store Value (Shared) for market: aId = 7283310
2/10/2022 14:21:58: [G_Auto 2] : Store Value (Shared) for market: bId = 9627961
2/10/2022 14:21:58: [G_Auto 2] : Store Text Value (Shared) for market: inplayInfo = aBsp: 1.6; bBsp: 2.66; volume: 105741.4
2/10/2022 14:21:58: [G_Auto 2] : Store Text Value (Shared) for market: inplayInfo = aBsp: 1.6; bBsp: 2.66; volume: 105741.4
It important to maintain always the column indentation.
Now from the file "ProfitLossReport_10_02_2022_Sasnovich v Cristian - Match Odds.csv"
we Take the "Profit If Win" and "Profit If Lose" column and place that in colum AG and AH in the first row (the same of the market name) for runnerA and in the second row for runnerB
Time, Selection, Profit If Win, Profit If Lose
15:29:45,Aliaksandra Sasnovich,-2.50,0.00
15:29:45,Jaqueline Cristian,45.75,0.00
and place that in columns AG and AH, respectively in the same row of market name for runner A and below for runner B
Always start for the row where the market name are, form column Z to column AE we place the matched bets, in CRESCENT order of time ( you need to reverse the order of the logs)
We take that info form "MatchedBetsReport_10_02_2022_Sasnovich v Cristian - Match Odds.csv" files
Time, Back/Lay, Selection, Odds, Stake, Reference, SP Bet
10/02/2022 14:25:43,Lay,Aliaksandra Sasnovich,1.05,19.99,258210913834,
10/02/2022 14:07:26,Back,Aliaksandra Sasnovich,1.2,13.88,258209447915,
10/02/2022 14:05:50,Back,Aliaksandra Sasnovich,1.15,16.66,258209329033,
10/02/2022 14:03:38,Lay,Aliaksandra Sasnovich,1.08,31.24,258209131668,
10/02/2022 13:57:03,Lay,Aliaksandra Sasnovich,1.09,27.77,258208704386,
10/02/2022 13:51:36,Back,Aliaksandra Sasnovich,1.17,25.64,258208304505,
10/02/2022 13:48:04,Lay,Aliaksandra Sasnovich,1.2,25,258207972263,
10/02/2022 13:42:46,Back,Aliaksandra Sasnovich,1.28,40.58,258207610316,
10/02/2022 13:37:22,Lay,Aliaksandra Sasnovich,1.36,6.94,258207113995,
10/02/2022 13:37:22,Lay,Aliaksandra Sasnovich,1.36,6.94,258207113062,
10/02/2022 13:30:43,Back,Aliaksandra Sasnovich,1.44,5.68,258206634020,
10/02/2022 13:28:48,Lay,Aliaksandra Sasnovich,1.32,31.24,258206491783,
- We put the time, in column Z
- for the first bets, in column AA we put "OPEN"
- in column AB we put the A if the Selection in csv file is the same of runnerA, B otherwise.
- We place L if Back/Lay in csv is == to Lay, B if == Back
- In colum AD we put the "Odds"
- In column AE we put the "Stake"
- after that row we put an empty row were we write in column "AA" -> "FINAL"
we need in colum Y the id of the but as the sequential number of the bets
NOTE 1: if we have, like in that example a duplicate row, with the SAME time, we add only one row in excel and we put as a "stake" the sum of the two stake example: STAKE = 6.94+6.94
Time, Back/Lay, Selection, Odds, Stake, Reference, SP Bet
....
10/02/2022 13:37:22,Lay,Aliaksandra Sasnovich,1.36,6.94,258207113995,
10/02/2022 13:37:22,Lay,Aliaksandra Sasnovich,1.36,6.94,258207113062,
.....
NOTE 2: if we have only one matched bets add final in a below row to maintain as the last value for the market.
Now thats the matched bets are in the excel we need to find the tennis point when each bets were placed.
That info are under the file Logs. Continuing our example on "Log_10_02_2022_Sasnovich v Cristian - Match Odds.csv"
we are looking to find every block like that (row 9 to 20 in the log)
...
2/10/2022 14:28:46: [G_Auto 2] : Store Text Value (Shared) for Aliaksandra Sasnovich: aPoints = point: 0; games: 2; sets: 0
2/10/2022 14:28:46: [G_Auto 2] : Store Text Value (Shared) for Aliaksandra Sasnovich: aServing = serving:1
2/10/2022 14:28:46: [G_Auto 2] : Store Text Value (Shared) for Jaqueline Cristian: bPoints = point: 0; games: 1; sets: 0
2/10/2022 14:28:46: [G_Auto 2] : Store Text Value (Shared) for Jaqueline Cristian: bServing = serving:0
2/10/2022 14:28:46: [G_Auto 2] : Store Value (Shared) for market: price = 1.32
2/10/2022 14:28:46: [G_Auto 2] : Store Value (Shared) for market: totalBack = 0
2/10/2022 14:28:46: [G_Auto 2] : Store Value (Shared) for market: totalLay = 31.24
2/10/2022 14:28:46: [G_Auto 2] : Store Value (Shared) for market: stake = 31.24
2/10/2022 14:28:46: [G_Auto 2] : Store Value (Shared) for market: totalStake = 31.24
2/10/2022 14:28:46: [G_Auto 2] : Store Value (Shared) for market: pl = -0.24
2/10/2022 14:28:46: [G_Auto 2] : Store Value (Shared) for market: currentOddsA = 1.32
2/10/2022 14:28:46: [G_Auto 2] : Store Value (Shared) for market: currentOddsB = 4.1
...
Each block of the log like that contains the point information.
So just put that data in columns from L to W
First Two rows are referring to runnerA, and the second two to runnerB
So for the first bet we have runnerA sets=0 and runnerB sets=0, so we are in the first set -> place games values in colum L and M: Under game A and B (columns V and W) we place the point: runnerA: 0 runnerB: 0
For SER colum (X columns) we place A if aServing =1 and bServing = 0 , B if bServing = 2 and aServing = 0.
Keep in mind that other info it's only to refer to the bets, so for example price =1.32 is for the first matched bet @ 1.32 added in row 4 of the excel.
For each matched bets added we add the tennis point
Is possible in the logs to have two or more repeated info, like in the example:
Block form row 45 - 56 and block 57 - 68 refer to the same matched bets, but as you can see the value TOTAL STAKE (row 53 and 65) are not changed, so isn't a new matched bet but the same.
Always take the info from the first block.
Always check if the new block have the same TOTAL STAKE, so it refer to the same matched bets, even if other values are changed (time or point or other values).
Another example for bet id 6 (row 9 of the excel):
we have these block (row 81 to 92):
2/10/2022 14:51:33: [G_Auto 2] : Store Text Value (Shared) for Aliaksandra Sasnovich: aPoints = point: 0; games: 0; sets: 1
2/10/2022 14:51:33: [G_Auto 2] : Store Text Value (Shared) for Aliaksandra Sasnovich: aServing = serving:0
2/10/2022 14:51:33: [G_Auto 2] : Store Text Value (Shared) for Jaqueline Cristian: bPoints = point: 0; games: 0; sets: 0
2/10/2022 14:51:33: [G_Auto 2] : Store Text Value (Shared) for Jaqueline Cristian: bServing = serving:2
2/10/2022 14:51:33: [G_Auto 2] : Store Value (Shared) for market: price = 1.17
2/10/2022 14:51:33: [G_Auto 2] : Store Value (Shared) for market: totalBack = 71.9
2/10/2022 14:51:33: [G_Auto 2] : Store Value (Shared) for market: totalLay = 70.12
2/10/2022 14:51:33: [G_Auto 2] : Store Value (Shared) for market: stake = 25.64
2/10/2022 14:51:33: [G_Auto 2] : Store Value (Shared) for market: totalStake = 142.02
2/10/2022 14:51:33: [G_Auto 2] : Store Value (Shared) for market: pl = -1.77
2/10/2022 14:51:33: [G_Auto 2] : Store Value (Shared) for market: currentOddsA = 1.17
2/10/2022 14:51:33: [G_Auto 2] : Store Value (Shared) for market: currentOddsB = 6.6
The point are now aSet: 1, bSet:0, so we are in second set:
we gonna put in columns L and M (first set) 1 and 0, and in column N and O (second set) the current game point, so: 0 and 0
The same for third and eventually fourth or fifth set
NOTE 1: if the games are 6 for runnerA and runnerB we are in the tie break, and the log don't put the point, just leave at 0 the values for the columns V and W
NOTE 2: if aPoint: == 99 or bPoint: == 99 we have an Advantage for the runner so we gonna put "AD" for the runner that have 99 as a value, and 40 for the runner that have 40
In that example we are in the third set, so column L and M for the first and N and O for the second are set to 1 1 and 1 1, and we are 1-1 in the third
As a final result for these example we would have a excel like that
In the SPORT REPORT.xlsx you will find other 4 examples that are referring to these matches:
1) row 16 to 20
/11_02_2022
/Logs
Log_11_02_2022_Ostapenko v Sasnovich - Match Odds.csv
/MatchedBets
MatchedBetsReport_11_02_2022_Ostapenko v Sasnovich - Match Odds.csv
/ProfitAndLoss
ProfitLossReport_11_02_2022_Ostapenko v Sasnovich - Match Odds.csv
2) row 21 to 24
/11_02_2022
/Logs
Log_11_02_2022_Van Assche v Lestienne - Match Odds.csv
/MatchedBets
MatchedBetsReport_11_02_2022_Van Assche v Lestienne - Match Odds.csv
/ProfitAndLoss
ProfitLossReport_11_02_2022_Van Assche v Lestienne - Match Odds.csv
3) row 25 to 27
/12_02_2022
/Logs
Log_12_02_2022_Ostapenko v Kontaveit - Match Odds.csv
/MatchedBets
MatchedBetsReport_12_02_2022_Ostapenko v Kontaveit - Match Odds.csv
/ProfitAndLoss
ProfitLossReport_12_02_2022_Ostapenko v Kontaveit - Match Odds.csv
4) row 28 to 30
/12_02_2022
/Logs
Log_12_02_2022_Tsitsipas v Lehecka - Match Odds.csv
/MatchedBets
MatchedBetsReport_12_02_2022_Tsitsipas v Lehecka - Match Odds.csv
/ProfitAndLoss
ProfitLossReport_12_02_2022_Tsitsipas v Lehecka - Match Odds.csv
If you need some more specification or have some problem let free to contact me at every time!
Thank you