feat: Esqueleto do parser feito

feat: Parse do tipo 1 implementado

README.md

@@ -14,6 +14,9 @@ First, let's represent the data using Python's Pandas module and implement CRUD
 - T1 a T4 -> 10 de novembro
 - (a definir)
 
+## Apontamentos
+Dados parecem estar no formato [Nordic](https://seisan.info/v13/node259.html)
+
 
 ## Bibliografia
 - [Pandas lib](https://pandas.pydata.org/docs)

parser.py

@@ -0,0 +1,134 @@
+from collections import defaultdict
+from datetime import datetime
+
+def is_blank(l: str) -> bool:
+    return len(l.strip(" ")) == 0
+
+
+def parse():
+    fp = open("dados.txt")
+    data = [l for l in fp.read().split("\n")]
+    chunks = boundaries(data)
+
+    for c in chunks:
+        parse_chunk(data[c[0]:c[1]])
+
+    fp.close()
+
+
+def boundaries(data: list[str]):
+    boundaries = []
+    s = None
+    for (idx,l) in enumerate(data):
+        if s is None:
+            if not is_blank(l):
+                s = idx
+        else:
+            if is_blank(l):
+                boundaries.append((s,idx))
+                s = None
+    return boundaries
+
+
+def parse_chunk(chunk_lines: list[str]):
+    header = None
+    for (idx, l) in enumerate(chunk_lines):
+        if l[-1] == " ":
+            header = idx-1
+            break
+    parse_header(chunk_lines[:header])
+
+
+def parse_header(headers: list[str]):
+    h = defaultdict(list)
+
+    for line in headers:
+        match line[-1]:
+            case "1":
+                h[1].append(line)
+                break
+            case "2":
+                h[2].append(line)
+                break
+            case "3":
+                h[3].append(line)
+                break
+            case "5":
+                h[5].append(line)
+                break
+            case "6":
+                h[6].append(line)
+                break
+            case "E":
+                h["E"].append(line)
+                break
+            case "I":
+                h["I"].append(line)
+                break
+            case _:
+                raise NotImplemented
+    for (k,v) in h.items():
+        if len(v) != 0:
+            FUNCS[k](v)
+
+
+def parse_type_1(data: list[str]):
+    aux = data[0]
+    y = int(aux[1:5])
+    mo = int(aux[6:8])
+    d = int(aux[8:10])
+    h = int(aux[11:13])
+    m = int(aux[13:15])
+    s = int(aux[16:18])
+    mil = int(aux[19]) * 10**5
+    dt = datetime(y,mo,d,h,m,s,mil)
+
+    dist_ind = aux[21]
+    eId = aux[22]
+    lat = float(aux[23:30])
+    long = float(aux[30:38])
+    depth = float(aux[38:43])
+    rep_ag = aux[45:48]
+
+    hypo = {"dt": dt.isoformat(), "Distance Indicator": dist_ind, "Event ID": eId, "Lat": lat, "Long": long, "Depth": depth, "Agency": rep_ag, "magnitudes": list()}
+
+    for (idx, l) in enumerate(data):
+        hypo["magnitudes"] = hypo["magnitudes"] + parse_mag(l, idx)
+    
+    print(hypo)
+    return hypo
+
+
+def parse_mag(line: str, idx: int) -> list:
+    magnitudes = []
+    base = 55
+    while base < 80:
+        m = line[base:base+4]
+        mt = line[base+4]
+        if is_blank(m):
+            break
+        magnitudes.append({"M": m, "T": mt})
+        base += 8
+    return magnitudes
+
+    
+def parse_type_2(data: list[str]):
+    pass
+
+def parse_type_3(data: list[str]):
+    pass
+
+def parse_type_5(data: list[str]):
+    pass
+
+def parse_type_6(data: list[str]):
+    pass
+
+def parse_type_e(data: list[str]):
+    pass
+
+def parse_type_f(data: list[str]):
+    pass
+
+FUNCS = {1: parse_type_1, 2: parse_type_2, 3: parse_type_3, 5: parse_type_5, 6: parse_type_6, "E": parse_type_e, "F": parse_type_f}
+parse()