gp-server.git - Gitblit

			@@ -8,9 +8,11 @@
			import time

			import constant
			from code_attribute import code_nature_analyse
			from db.redis_manager_delegate import RedisUtils
			from third_data import kpl_block_util, kpl_api
			from utils import global_util, tool
			from third_data import kpl_block_util, kpl_api, kpl_util
			from trade.trade_manager import MarketSituationManager
			from utils import global_util, tool, buy_condition_util
			from log_module import log, async_log_util
			from db import redis_manager_delegate as redis_manager

			@@ -447,7 +449,7 @@
			jingxuan_block_info = self.__KPLCodeJXBlockManager.get_jx_blocks_cache(code, by=True)
			if jingxuan_block_info:
			jingxuan_blocks = jingxuan_block_info[0]
			k4 \|= set(jingxuan_blocks) #set([x[1] for x in jingxuan_blocks])
			k4 \|= set(jingxuan_blocks) # set([x[1] for x in jingxuan_blocks])
			for k in [k1, k11, k2, k3, k4]:
			keys \|= k

			@@ -488,7 +490,7 @@

			# 返回内容(是否可买, 是否为独苗, 描述信息)
			@classmethod
			def __is_block_can_buy(cls, code, block, current_limit_up_datas, code_limit_up_reason_dict,
			def __is_block_can_buy(cls, code, block, current_limit_up_datas, code_limit_up_reasons_dict,
			yesterday_current_limit_up_codes, limit_up_record_datas, current_limit_up_block_codes_dict,
			high_level_code_blocks=None, high_level_block_codes=None):
			# 独苗判断
			@@ -497,6 +499,8 @@
			if high_level_block_codes is None:
			high_level_block_codes = {}
			block_codes = current_limit_up_block_codes_dict.get(block)
			if block_codes is None:
			block_codes = set()
			if not block_codes:
			# 高位板泛化板块中无板块
			if not high_level_block_codes.get(block):
			@@ -513,18 +517,28 @@
			# ---------------------------判断强势主线-------------------------
			is_strong_block = False
			for d in current_limit_up_datas:
			if d[5] != block:
			bs = kpl_util.get_current_limit_up_reasons(d)
			if block not in bs:
			general_blocks = high_level_code_blocks.get(d[0])
			if not general_blocks or block not in general_blocks:
			# 没在泛化板块中
			continue
			if d[4].find("连板") > 0:
			if d[4].replace("连板", "").isdigit():
			count = int(d[4].replace("连板", ""))
			if count >= 3:
			is_strong_block = True
			break
			count = kpl_util.get_high_level_count(d[4])
			if count >= 3:
			if d[4].find("连板") > 0:
			is_strong_block = True
			break
			elif d[0] in yesterday_current_limit_up_codes and len(block_codes) >= 2:
			# 几天几板，且最近2连板
			# 看是否有首板后排
			is_strong_block = True
			break

			if not is_strong_block:
			temp_block_codes = set(copy.deepcopy(block_codes))
			temp_block_codes.discard(code)
			if len(temp_block_codes) >= 3:
			is_strong_block = True
			max_rank = 2
			# 强势板块买老四
			if is_strong_block:
			@@ -548,11 +562,13 @@
			# 获取主板实时身位,剔除高位板
			current_shsz_rank, front_current_shsz_rank_codes = kpl_block_util.get_code_current_rank(code, block,
			current_limit_up_datas,
			code_limit_up_reason_dict,
			code_limit_up_reasons_dict,
			yesterday_current_limit_up_codes,
			exclude_first_codes,
			len(current_open_limit_up_codes),
			shsz=True, limit_up_time=first_limit_up_time)
			len(
			current_open_limit_up_codes),
			shsz=True,
			limit_up_time=first_limit_up_time)
			# record_shsz_rank, record_shsz_rank_codes = kpl_block_util.get_code_record_rank(code, block,
			# limit_up_record_datas,
			# code_limit_up_reason_dict,
			@@ -565,6 +581,17 @@
			if current_shsz_rank < len(current_open_limit_up_codes) + max_rank:
			return True, False, f"【{block}】前排代码：{current_shsz_rank}", is_strong_block
			else:
			# k_format = code_nature_analyse.CodeNatureRecordManager().get_k_format_cache(code)
			# if k_format and k_format[8][0]:
			# # 具有辨识度
			# return True, False, f"【{block}】具有辨识度", is_strong_block
			# 看自由流通市值是否小于20亿
			if is_strong_block and current_shsz_rank < len(current_open_limit_up_codes) + max_rank + 1:
			zyltgb_as_yi = round(global_util.zyltgb_map.get(code) / 100000000, 2) if code in global_util.zyltgb_map else None
			situation = MarketSituationManager().get_situation_cache()
			zylt_threshold_as_yi = buy_condition_util.get_zyltgb_threshold(situation)
			if zyltgb_as_yi and zylt_threshold_as_yi[2] <= zyltgb_as_yi <= zylt_threshold_as_yi[3]:
			return True, False, f"【{block}】强势板块自由流通市值({zyltgb_as_yi})大于{zylt_threshold_as_yi[2]}亿小于{zylt_threshold_as_yi[3]}亿", is_strong_block
			return False, False, f"【{block}】前排代码：{front_current_shsz_rank_codes} 超过{len(current_open_limit_up_codes) + max_rank}个", is_strong_block

			# 过时的代码
			@@ -603,10 +630,12 @@
			if limit_up_record_datas:
			for d in limit_up_record_datas:
			if d[2] in constant.KPL_INVALID_BLOCKS and d[3] in before_blocks_dict:
			code_limit_up_reason_dict[d[3]] = list(before_blocks_dict.get(d[3]))[0]
			code_limit_up_reasons_dict[d[3]] = {list(before_blocks_dict.get(d[3]))[0]}
			else:
			code_limit_up_reason_dict[d[3]] = d[2]
			return code_limit_up_reason_dict
			code_limit_up_reasons_dict[d[3]] = {d[2]}
			if d[6]:
			code_limit_up_reasons_dict[d[3]] \|= set(d[6].split("、"))
			return code_limit_up_reasons_dict

			if current_limit_up_datas is None:
			current_limit_up_datas = []
			@@ -622,7 +651,7 @@
			# 始终获取精选板块
			if True:
			# 获取
			if k4 and not keys:
			if k4:
			# 当涨停原因没有时才取精选板块
			keys \|= k4
			keys = keys - constant.KPL_INVALID_BLOCKS
			@@ -634,11 +663,11 @@
			fresults = []
			if not keys:
			return fresults, set()
			code_limit_up_reason_dict = {}
			code_limit_up_reasons_dict = {}
			load_code_block()
			for block in keys:
			can_buy, unique, msg, is_strong = cls.__is_block_can_buy(code, block, current_limit_up_datas,
			code_limit_up_reason_dict,
			code_limit_up_reasons_dict,
			yesterday_current_limit_up_codes,
			limit_up_record_datas,
			current_limit_up_block_codes_dict,
			@@ -752,10 +781,11 @@
			# high_level_general_code_blocks 高位泛化板块
			@classmethod
			def update_can_buy_blocks(cls, code, current_limit_up_datas, limit_up_record_datas,
			yesterday_current_limit_up_records,
			latest_current_limit_up_records,
			before_blocks_dict, current_limit_up_block_codes_dict):
			yesterday_current_limit_up_codes = set()
			yesterday_current_limit_up_records_dict = {}
			yesterday_current_limit_up_records = latest_current_limit_up_records[0][1]
			if yesterday_current_limit_up_records:
			for r in yesterday_current_limit_up_records:
			yesterday_current_limit_up_codes.add(r[0])
			@@ -763,21 +793,22 @@
			high_level_general_code_blocks = {}
			# 是否是3板及以上的高位板
			for r in current_limit_up_datas:
			if r[4].find("连板") > 0:
			if r[4].replace("连板", "").isdigit():
			count = int(r[4].replace("连板", ""))
			if count >= 3:
			# 是高位板
			# 当日精选
			blocks = set(r[6].split("、"))
			if r[0] in yesterday_current_limit_up_records_dict:
			# 昨日涨停原因
			blocks.add(yesterday_current_limit_up_records_dict.get(r[0])[5])
			f_blocks = []
			for b in blocks:
			if b:
			f_blocks.append(b)
			high_level_general_code_blocks[r[0]] = f_blocks
			count = kpl_util.get_high_level_count(r[4])
			if count >= 3 and r[0] in yesterday_current_limit_up_codes:
			latest_datas = latest_current_limit_up_records[:count - 1]
			# 是高位板
			# 当日精选
			blocks = set(r[6].split("、"))
			for d in latest_datas:
			for dd in d[1]:
			if dd[0] == r[0]:
			blocks.add(dd[5])
			break
			f_blocks = []
			for b in blocks:
			if b:
			f_blocks.append(b)
			high_level_general_code_blocks[r[0]] = f_blocks

			can_buy_blocks, unique, msg, can_buy_strong_blocks, keys = cls.__compute_can_buy_blocks(code,
			current_limit_up_datas,