feat: dados concatenados num unico dataframe. parser() faz return disso

This commit is contained in:
2025-11-03 22:41:47 -01:00
parent 5d40f4ceb7
commit 66dff395fd
2 changed files with 47 additions and 30 deletions

View File

@@ -1,7 +1,10 @@
#! /usr/bin/env python #! /usr/bin/env python
from parser import parse
def main(): def main():
pass
if __name__ == '__main__': if __name__ == '__main__':
main() main()

View File

@@ -1,7 +1,11 @@
from collections import defaultdict import io
from datetime import datetime, time
import warnings import warnings
from collections import defaultdict
from datetime import datetime
import pandas as pd
def is_blank(l: str) -> bool: def is_blank(l: str) -> bool:
return len(l.strip(" ")) == 0 return len(l.strip(" ")) == 0
@@ -19,17 +23,36 @@ def parse_int(v:str) -> int | None:
except ValueError: except ValueError:
return None return None
def into_dataframe(data) -> pd.DataFrame:
if len(data) == 0:
return pd.DataFrame()
aux = {k: [] for k in data.keys()}
for (k,v) in data.items():
aux[k].append(v)
def parse(): return pd.DataFrame(data=aux)
fp = open("dados.txt")
def test(d1, d2):
for col in d2.columns:
d1.at[0, col] = d2[col].tolist()
return d1
# ------------ principal
def parse(fname="dados.txt"):
fp = open(fname)
data = [l for l in fp.read().split("\n")] data = [l for l in fp.read().split("\n")]
chunks = boundaries(data) chunks = boundaries(data)
df = pd.DataFrame()
for c in chunks: for (idx,c) in enumerate(chunks):
yield parse_chunk(data[c[0]:c[1]]) a = parse_chunk(data[c[0]:c[1]], idx)
aux = pd.concat([df, a], axis=0, ignore_index=True)
df = aux
fp.close() fp.close()
return df
def boundaries(data: list[str]): def boundaries(data: list[str]):
boundaries = [] boundaries = []
@@ -45,20 +68,20 @@ def boundaries(data: list[str]):
return boundaries return boundaries
def parse_chunk(chunk_lines: list[str]): def parse_chunk(chunk_lines: list[str], iD):
hIdx = None hIdx = None
for (idx, l) in enumerate(chunk_lines): for (idx, l) in enumerate(chunk_lines):
if l[-1] == "7": if l[-1] == "7":
hIdx = idx hIdx = idx
break break
if hIdx is None: headersRet = parse_header(chunk_lines[:hIdx])
raise ValueError("Expected a '7' phase header in chunk_lines") phaseRet = parse_type_7(chunk_lines[hIdx:])
else:
headersRet = parse_header(chunk_lines[:hIdx])
phaseRet = parse_type_7(chunk_lines[hIdx+1:])
eventData = headersRet | phaseRet
return eventData hDF = into_dataframe(headersRet)
hDF["ID"] = iD
phaseRet["ID"] = iD
return pd.concat([hDF, phaseRet])
def parse_header(hLines: list[str]): def parse_header(hLines: list[str]):
@@ -119,7 +142,6 @@ def parse_type_1(data: list[str]):
rep_ag = aux[45:48] rep_ag = aux[45:48]
hypo = {"DateTime": dt.isoformat(), "Distance Indicator": dist_ind, "Event ID": eId, "Lat": lat, "Long": long, "Depth": depth, "Agency": rep_ag, "Magnitudes": list()} hypo = {"DateTime": dt.isoformat(), "Distance Indicator": dist_ind, "Event ID": eId, "Lat": lat, "Long": long, "Depth": depth, "Agency": rep_ag, "Magnitudes": list()}
for l in data: for l in data:
hypo["Magnitudes"] = hypo["Magnitudes"] + parse_mag(l) hypo["Magnitudes"] = hypo["Magnitudes"] + parse_mag(l)
@@ -138,19 +160,12 @@ def parse_type_6(data: list[str]):
waves.append(l.strip().split(" ")[0]) waves.append(l.strip().split(" ")[0])
return {"Wave": waves} return {"Wave": waves}
def parse_type_7(data: list[str]): def parse_type_7(data: list[str]):
phases = [] aux = io.StringIO("\n".join(data))
# nordic format dados = pd.read_fwf(aux, colspecs=[(1,5), (6,8), (9,10), (10,15), (16,17), (18,22), (23,28), (29,33), (34,40), (41,45), (46,50), (51,56), (57,60), (61,63), (64,68), (69,70), (72,75), (76,79)])
for l in data: return dados
h = int(l[18:20])
m = int(l[20:22])
sec = int(l[23:25])
mil = int(l[26:28]) * 10**4
t = time(h,m,sec,mil)
phases.append({"Stat:":l[1:5], "Com": l[6:10], "I": l[9].strip(), "Phase": l[10:15].strip(), "Polarity": l[16].strip(), "Time": t.isoformat(), "Duration": parse_flt(l[29:33]), "Amplitude": parse_flt(l[34:40]), "Period": parse_flt(l[41:45]), "Azimuth": parse_flt(l[46:51]), "Velocity":parse_int(l[52:56]), "AIN": parse_int(l[57:60]), "AR": l[61:63], "Travel Time": parse_flt(l[63:67]), "Weigth": parse_int(l[67:70]), "Distance": float(l[71:75]), "CAZ": int(l[76:79])})
return {"Phases": phases}
def parse_type_e(data: list[str]): def parse_type_e(data: list[str]):
aux = data[0] aux = data[0]
@@ -170,5 +185,4 @@ def parse_type_i(data: list[str]):
FUNCS = {1: parse_type_1, 3: parse_type_3, 6: parse_type_6, "E": parse_type_e, "F": parse_type_f, "I": parse_type_i} FUNCS = {1: parse_type_1, 3: parse_type_3, 6: parse_type_6, "E": parse_type_e, "F": parse_type_f, "I": parse_type_i}
parse()
print(next(parse()))