优化位号列识别,增加static_config

predict/base_handler.py

@@ -178,7 +178,7 @@ class BasePredictor:
         位号列预测
         位号列预测
         """
         """
         # pat = re.compile(r'[CJRULX][1-9]{1,3}')
         # pat = re.compile(r'[CJRULX][1-9]{1,3}')
-        pat = re.compile(r'(?<!.)[CJRULX][1-9]{1,3}(?![^,，/　 ])')
+        pat = re.compile(r'(?<!.)[CJRULXKPD][1-9]{1,3}(?![^,，/　 ])')
         count = 0
         count = 0
         for i in data:
         for i in data:
             if pat.findall(str(i)):
             if pat.findall(str(i)):
@@ -212,4 +212,4 @@ class BasePredictor:
         return round(count / len(data), 3)
         return round(count / len(data), 3)
 
 
 if __name__ == "__main__":
 if __name__ == "__main__":
-    print(BasePredictor.is_num([3400.0, 5920.0, 4849.0, 2544.0, 3270.0, 52751.0, 2031.0, 5302.0, 726.0, 1247.0, 2472.0, 689.0, 6049.0, 26796.0, 6164.0, 1605.0, 4346.0, 640.0, 960.0, 960.0, 320.0, 160.0, 860.0, 160.0, 320.0, 3183.0, 10151.0, 640.0, 130.0, 1237.0, 800.0, 960.0, 3740.0, 17701.0, 2146.0, 1280.0, 160.0, 1120.0, 160.0, 480.0, 960.0, 480.0, 160.0, 4717.0, 160.0, 160.0, 160.0, 640.0, 160.0, 320.0, 160.0, 160.0, 800.0, 800.0, 480.0, 1600.0, 155.0, 960.0, 320.0, 944.0, 160.0, 160.0, 1280.0, 1852.0, 7680.0, 7680.0, 2880.0, 160.0, 224.0, 480.0, 480.0, 640.0, 160.0, 640.0, 320.0, 1760.0, 640.0, 480.0, 960.0, 160.0, 160.0, 160.0, 160.0, 1920.0, 160.0, 5600.0, 480.0, 2560.0, 160.0, 160.0, 160.0, 160.0, 160.0, 1280.0, 160.0, 160.0, 160.0, 160.0, 160.0, 320.0, 0.0, 160.0, 160.0]))
+    print(BasePredictor.is_ref(['?', '位号', 'C75,C149', 'C59 C252,C5302', 'C49,C50', 'C5323,C5324,C5337', 'C5261,C5262', 'C5312', 'C419', 'C7,C26,C27,C133', 'C37,C108,C109,C110,C111,C127,C194,C248,C123,C420', 'C5189,C5291,C5332', 'C255,C5190,C5292,C5333 C5267,C5272', 'C107,C116', 'C5309,C5340,C5343', 'C423,C426', 'C66,C76,C5265,C5266,C5270,C5271,C5326,C5253,C5254,C5255,C5256,C5257,C5258,C5259,C5260,C5263,C5264,C5306', 'C2,C3,C4,C10,C14,C15,C16,C35,C52,C54,C55,C56,C57,C72,C73,C77,C78,C83,C85,C86,C87,C88,C89,C91,C92,C93,C94,C95,C96,C97,C98,C99,C100,C101,C102,C103,C104,C105,C128,C154,C156,C159,C162,C163,C165,C166,C169,C170,C180,C189,C193,C197,C205,C235,C243,C244,C246,C251,C258,C262,C263,C264,C266,C271,C334,C335,C615,C5188,C5229,C5235,C5290,C5294,C5296,C5299,C5300,C5301,C5316,C5331,C5335,C5345,C18,C117,C353,C362,C363,C377,C378,C380,C424,C425,C5206,C5223,C5226,C5228,C5230,C5231,C5233,C5234,C5240,C5242,C5243,C5245,C5247,C5248,C5249,C5251,C5252,C5268,C5269,C5342,C5344,C5346,C421,C5303,C5305', 'C39,C68,C82,C84,C90,C142,C247,C250,C280,C435', 'C5338,C5339', 'C151 C427', 'C38,C40,C155,C157,C215,C254,C257,C260,C261,C270,C5314 C150 C181 C5224', 'C17,C29,C62,C63,C64,C65,C67,C106,C121,C122,C161,C164,C303,C422,C5244,C5298,C5341,C183,C5304', 'C1,C8,C9,C12,C19,C51,C53,C136,C168,C5193,C5207,C5208,C5293,C5315,C428,C5227,C5232,C5241,C5246,C5250,C5276,C5313,C5327,C5328,C5329,C5330', 'C13,C21,C69,C70,C81', 'C396', 'C364', 'CE5', 'CE3,CE4', 'CE1,CE2', 'R8,R9,R10,R56,R66,R84,R164,R226,R238,R240,R311,R312,R348,R5812,R5889,R5890 R5887', 'R5731,R5732,R5742,R5743,R5744,R5745,R5922,R5923', 'R58,R78,R172,R173', 'R143,R398,R399,R5801,R5802,R5862,R5863,R5864,R5865,R5866,R5867', 'R4,R5,R11,R25,R28,R67,R5750,R5751,R5752,R5753,R5787,R5810,R5822', 'R59', 'R36,R37', 'R5828', 'R239,R241', 'R38', 'R70,R71,R123', 'R1,R280,R5785,R5789,R5797,R5824,R5825,R5830,R5831,R5897', 'R405,R5768 R5888', 'R115 R400,R401,R5920', 'R5826,R5827,R5829,R5832', 'R151', 'R407', 'R5807', 'R101,R117,R144,R150,R153,R156,R157,R159,R161,R162,R307,R5704,R5706,R5748,R5749,R5869,R5874', 'R96,R137', 'R5723,R5857,R5916', 'R136', 'R5771 R5858', 'R12,R31,R32,R33,R34,R35,R42,R44,R61,R77,R80,R125,R132,R140,R141,R193,R212,R267,R419,R5144,R5765,R5766,R5767,R5786,R5800,R5808,R5809,R5815,R5816,R5817,R5894,R5892,R5895,R5896,R5907,R5908,R5910,R5911,R5913,R5914,R5921', 'R139 R5861', 'R92,R138', 'R5147,R5891', 'R45,R5903,R5905,R5906', 'R64', 'R21', 'R65,R5770,R5772', 'R5724,R5769', 'R5782', 'R23,R26,R30,R39,R126,R127,R5722,R5779,R5781,R5783,R5784,R5798,R5799,R5805,R5813,R5814,R5823,R5856,R5915,R5924 R5917', 'R20,R24,R27 R5859', 'R29', 'R43,R49', 'R5725', 'R128,R129', 'R5898 R5918', 'L6,L16 R13', 'R2,R3', 'R130,R131', 'L5103', 'RN2,RN3', 'RP1,RP2', 'FB9,FB10,FB12 L53,L5107,L5108', 'L22', 'L7', 'L24 L5101,L5106,L5109', 'L3,L4', 'L2,L5 L9', 'X6', 'Y1', 'Y2', 'Y3', 'Y5', 'F1', 'D7 D33,D34 D45', 'D40,D41', 'D4,D47', 'D1', 'D5', 'D46', 'Q1,Q3 Q11', 'Q23 1Q1', 'U5116', 'U1', 'U5119', 'U2', 'U5115', 'U5110,U5128,U5133', 'U9,U12', 'U8,U11', 'U13', 'U5120 U5124 ', 'U19 U5118,U5121,U5123', 'U10', 'U20', 'U31', 'U5113', 'U5122', 'U5130', 'U5132', 'U5134', 'U3', 'U5,U6', 'U5126', 'P11', 'ESD1,D13,D14,D15,D16,D17,D18,D19,ESD39,ESD40,ESD41,ESD42,ESD43,ESD44,ESD45,ESD46,ESD47,ESD48,D48,ESD49,ESD55,ESD56,ESD57,ESD61,ESD62,ESD63,ESD64,ESD65,ESD66,ESD67,ESD68,ESD69,ESD70', 'TVS2', ',P1,P2,P5,P10,P4617,P4618,P4620,P4621,P4625', 'P7', 'K1', 'J5', 'J33', 'ANT1', 'J4604,MIC1,MIC2', 'J2 CN2', 'J4601,J4602', 'CTP', 'J4605', 'SW1', 'BAT1', '?']))

static_config.py

@@ -5,15 +5,15 @@ PROB_FIELDS = ["序号", "名称", "规格", "mpn", "用量(pcs)", "用量", "pc
                "需求数量", "售价", "封装", "封装规格", '型号', '参数', '数量', '品牌', '型号', '类型', "quantity", "qty", "buy qty",
                "需求数量", "售价", "封装", "封装规格", '型号', '参数', '数量', '品牌', '型号', '类型', "quantity", "qty", "buy qty",
                "buy quantity", "需求用量","manufacturer制造商", "manufacturer", "description"
                "buy quantity", "需求用量","manufacturer制造商", "manufacturer", "description"
                "参考品牌", "品牌", "item", "厂商编码", "品牌/厂商", "参考料号", "参考供应商", "top面", "bottom面", "designator", "remark", "元器件",
                "参考品牌", "品牌", "item", "厂商编码", "品牌/厂商", "参考料号", "参考供应商", "top面", "bottom面", "designator", "remark", "元器件",
-               "标号", "需求型号"]
+               "标号", "需求型号", "Footprint封装", "Footprint", "产品分类", "单板数量", "规格型号", "packagereference", "footprint封装"]
 PROB_FIELDS_1 = ['*' + i for i in PROB_FIELDS]
 PROB_FIELDS_1 = ['*' + i for i in PROB_FIELDS]
 PROB_FIELDS.extend(PROB_FIELDS_1)
 PROB_FIELDS.extend(PROB_FIELDS_1)
 
 
 # 标准名和代名词的映射
 # 标准名和代名词的映射
-li_category = ["类别", "分类", "名称", "类别名称", "类型"]
+li_category = ["类别", "分类", "名称", "类别名称", "类型", "产品分类"]
 li_param = ["参数", "规格", "描述", "值", "description"]
 li_param = ["参数", "规格", "描述", "值", "description"]
-li_gn = ["型号", "参考料号", "料号", "mpn", "厂商编码", "元器件", "需求型号"]
-li_num = ["数量", "用量(pcs)", "用量", "pcs", "quantity", "qty", "buy qty", "buy quantity", "需求用量"]
+li_gn = ["型号", "参考料号", "料号", "mpn", "厂商编码", "元器件", "需求型号", "规格型号"]
+li_num = ["数量", "用量(pcs)", "用量", "pcs", "quantity", "qty", "buy qty", "buy quantity", "需求用量", "单板数量"]
 li_brand = ["品牌", "品牌/厂商", "参考品牌", "参考供应商", "厂商", "参考供应商", "参考厂商", "manufacturer制造商", "manufacturer"]
 li_brand = ["品牌", "品牌/厂商", "参考品牌", "参考供应商", "厂商", "参考供应商", "参考厂商", "manufacturer制造商", "manufacturer"]
 
 
 li_category.extend(['*' + i for i in li_category])
 li_category.extend(['*' + i for i in li_category])